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Finance Fellow - Human Frontier Collective
Scale AI
5000+
United Kingdom
Contractor
Remote
true
PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: PhD, Master, BBA in Finance, Economics, or related degrees. Certifications: CFA or CPA strongly preferred. Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment. Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$120/hr., depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Data Scientist
Data Science & Analytics
2025-10-20 12:09
Solutions Architect (San Francisco, CA)
Deepgram
201-500
United States
Full-time
Remote
false
Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.Opportunity
Deepgram is seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you'll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram.LocationThis role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively.
About Applied Engineering at Deepgram
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you'll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more.
What You'll DoOwn complete post-sales customer engagements, providing direct technical guidance and solutionsLead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problemsDesign and implement systematic improvements to our support process and infrastructureCreate automated solutions and self-service tools that address common customer challengesAnalyze support ticket patterns to identify product improvement opportunities and preventative measuresDevelop technical documentation, guides, and best practices that enable customers to self-solve issuesCollaborate with product and engineering teams to advocate for customer needs and influence roadmap prioritiesPartner with the broader Applied Engineering team to share knowledge and balance support workloadOccasionally assist with implementation projects and pre-sales activities as needed
Time Allocation50% - Direct customer engagement and technical problem solving30% - Building automation and scalable support solutions10% - Developing documentation and self-service resources10% - Contributing to broader Applied Engineering initiatives and pre-sales activities
You'll Love This Role If YouEnjoy direct customer interaction and solving complex technical challengesAre passionate about creating scalable solutions that enhance customer experiencesFind satisfaction in improving systems and processes to increase efficiencyHave a talent for identifying patterns and translating them into actionable improvementsAre energized by opportunities to apply engineering principles to customer-facing challengesSee technical support as a strategic function that drives customer satisfaction and retention
It's Important To Us That You Have3+ years of experience in technical support, solutions engineering, or similar customer-facing technical rolesStrong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, C/C++, or similar languagesExperience developing automation solutions and improving technical processesProven ability to troubleshoot complex technical issues in production environmentsExcellent written and verbal communication skills with the ability to explain technical concepts clearly
It Would Be Great if You HadExperience with speech recognition, NLP, or related AI technologiesKnowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)Experience with API-first products and developer toolsBackground in support automation techniques and toolsBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.
Solutions Architect
Software Engineering
2025-10-20 12:09
Senior Pre-Sales Solutions Engineer (San Francisco, CA)
Deepgram
201-500
United States
Full-time
Remote
false
Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.OpportunityDeepgram is seeking a Senior Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with our prospects, customers, and partners. In this role, you will be the technical authority who bridges the gap between our state-of-the-art AI speech technology and customer business needs. You'll collaborate closely with our sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts, and demonstrate the value of our platform to technical decision makers. Your deep engineering expertise combined with consultative sales skills will be crucial in navigating complex sales cycles and establishing Deepgram as the preferred Voice AI partner. As a senior member of the Applied Engineering team, you'll influence the team’s vision, product strategy based on market insights, and contribute to the evolution of our pre-sales methodology.LocationThis role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively.About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a Senior Applied Engineer, you'll be primarily focused on the pre-sales aspects of this journey while having opportunities to contribute to the full customer lifecycle.What You’ll DoLead technical discovery and solution design for enterprise prospects and customersArchitect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases Provide expert guidance on API integration, performance optimization, and deployment strategies Partner with Account Executives to navigate technical objections and accelerate the sales cycle Contribute to technical content creation including implementation guides, reference architectures, and best practices Mentor junior team members and share technical knowledge across the organizationRepresent the voice of the customer to product and engineering teamsYour First 90 Days First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Shadow senior team members on customer calls and begin building technical demos. Gain proficiency with our core APIs and documentation.
60 Days: Lead technical discovery calls with account executives, and develop custom proof-of-concepts for prospects. Begin contributing to technical content. Participate in sales strategy sessions and provide technical insights to deals in progress.
90 Days: Own the technical relationship with assigned accounts. Develop and present complex solutions addressing specific customer challenges. Begin mentoring newer team members and contributing to the pre-sales methodology.You’ll Love This Role If YouAre passionate about translating complex technical capabilities into business valueThrive in consultative customer environments where you can showcase your technical expertise Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility Find satisfaction in seeing your technical solutions drive customer adoption and success Are energized by staying at the forefront of AI and speech technologyIt’s Important To Us That You Have5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages Proven track record of successfully navigating complex technical sales cyclesExperience building and demonstrating proof-of-concepts or technical solutions to diverse audiences Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders
It Would Be Great if You Had Experience with speech recognition, NLP, AI/Voice agents, or related AI technologiesExperience building customer-facing demos and sample codeKnowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)Experience with API-first products and developer tools Background in sales methodologies such as Triangle, MEDDIC, or Solution SellingBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.
Solutions Architect
Software Engineering
2025-10-20 12:09
Software Engineer, ML Data Platform
Mirage
101-200
United States
Full-time
Remote
false
Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role
We’re looking for a Software Engineer to help build and scale the data systems that power our machine learning products. This role sits at the intersection of data engineering and ML infrastructure: you’ll design large-scale streaming pipelines, build tools that abstract infrastructure complexity for feature developers, and ensure that our feature data is reliable, discoverable, and performant across online and offline environments. If you’re passionate about building foundational systems that enable machine learning at scale — and love solving complex distributed data problems — this is the role for you.What You’ll DoDesign and scale feature pipelines: Build distributed data processing systems for feature extraction, orchestration, and serving — including real-time streaming, batch ingestion, and CDC workflows.Feature Extraction: Design and implement reliable, reusable feature pipelines for ML models, ensuring features are accurate, scalable, and production-ready through well-designed SDKs and orchestration tools.Build and evolve storage infrastructure: Manage multi-tier data systems (e.g. Bigtable for online features/state, BigQuery for analytics and offline training), including schema evolution, versioning, and compatibility.Own orchestration and reliability: Lead workflow orchestration design (e.g. Pub/Sub, Busboy, Airflow/Temporal), monitoring, and alerting to ensure reliability at 100M+ video scale.Collaborate with ML teams: Partner with ML engineers on feature availability, dataset curation, and streaming pipelines for training and inference.Optimize for performance and cost: Tune GPU utilization, resource allocation, and data processing efficiency to maximize system throughput and minimize cost.Enable analytics and insights: Support downstream analytics and data science workflows by ensuring data accessibility, discoverability, and performance at scale.Preferred Qualifications4+ years building distributed data systems, feature platforms, or ML infrastructure at scale.Strong experience with streaming and batch pipelines (e.g. Pub/Sub, Kafka, Dataflow, Beam, Flink, Spark).Deep knowledge of cloud-native data stores (e.g. Bigtable, BigQuery, DynamoDB, Snowflake) and schema/versioning best practices.
Proficiency in Python and experience building developer-facing libraries or SDKs.Experience with Kubernetes, containerized data infrastructure, and workflow orchestration tools (e.g. Airflow, Temporal).Familiarity with ML workflows and feature store design — enough to partner closely with ML teams.Bonus: Experience working with video, audio, or other unstructured media data in a production environment.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.
Data Engineer
Data Science & Analytics
DevOps Engineer
Data Science & Analytics
Machine Learning Engineer
Data Science & Analytics
2025-10-20 12:09
Automation Engineer
Harmattan AI
51-100
France
Full-time
Remote
false
About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are looking for a skilled and forward-thinking Automation Engineer to design, implement, and optimize automation systems at our production site, the model for our future global manufacturing sites.
You’ll lead automation projects that enable cost-effective, high-volume, and defense-grade production through robotics, digital integration, and lean processes.ResponsibilitiesAutomation SystemsDesign and deploy automated solutions across key manufacturing and test processes.Translate manual tasks into robust automated stations (robotics, sensors, actuators, software).Own equipment specifications, commissioning, and validation with suppliers and integrators.Performance & ReliabilityMaximize OEE through improved uptime, performance, and first-pass yield.Analyze real-time data and fault logs to drive continuous improvement.Support maintenance and production teams in troubleshooting and system optimization.Digital IntegrationConnect automation platforms to ERP/MES for live traceability and performance data.Build OEE dashboards and enable predictive maintenance through data and IoT tools.Contribute to digital twin and simulation projects for capacity and layout planning.Innovation & StandardizationEvaluate and prototype new automation and robotics technologies.Standardize automation architectures and documentation for replication in future factories.Train technical staff and provide user-friendly system documentation.Candidate RequirementsDegree in Automation Engineering, Mechatronics, Robotics, or equivalent.5+ years experience in manufacturing automation (design, commissioning, optimization).Strong command of robotics, PLCs, sensors, motion systems, and automation safety standards (CE).Interest in Industry 4.0, collaborative robotics, and machine learning applications.Proven experience deploying reliable, high-availability systems.Communication & Influence: Excellent written and verbal communication in French and English, capable of leading diverse principals – from junior members to senior executives.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
Robotics Engineer
Software Engineering
DevOps Engineer
Data Science & Analytics
2025-10-20 12:09
Legal Fellow - Human Frontier Collective
Scale AI
5000+
United Kingdom
Contractor
Remote
true
PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program. Certifications: Bar admission in any jurisdiction strongly preferred. Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor. Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making. Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$100/hr, depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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2025-10-20 12:09
Lead Solution Engineer
Taktile
101-200
Brazil
Full-time
Remote
true
About the roleTaktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1´000´000 critical business decisions every day.Taktile is based in Berlin, London and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath.We’re backed by some of the world’s leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more customers.That’s where you come in.We’re now expanding into Latin America and building our founding Solution Engineering team in São Paulo. As a Lead Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will work in partnership with Taktile's Sales Team and are making sure our customers get value from Taktile throughout their entire lifecycle. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about state of the art tech products, have gathered a few years of experience working with Python and customers, and enjoy working as part of an awesome team that empowers you to grow, then we think you'll love this job!
ABOUT YOUYou know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts).You are curious and customer-centric. You enjoy learning about our customers’ and prospects’ businesses and helping them solve challenges. You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile.You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business.You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you’re always looking for ways to stand out with customers and prospects. You have excellent written and spoken English.What You'll DoYou discover and translate customer's strategic priorities and problem statements into high impact use cases leveraging Taktile during the sales process and throughout the entire customer value journey including adoption, expansion and renewal.You build demos, support our sales team and customers in building business cases and design and scope proof of value projects which demonstrate the value Taktile delivers for the customer within a short amount of time.You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform.You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives.You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile’s customers.You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap.You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function.You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions.Ideal, But Not RequiredLive for Customer Value: You have at least 5+ years of experience working within Enterprise / "high touch" Solution Engineering, as a technical Customer Success Manager / Engineer in a B2B SaaS company or as (Technical) Senior Consultant.Technical expertise: You have a general understanding of REST APIs (design, integration, authentication)Data & Analytics: You have experience in applying and optimizing statistical and machine learning models to solve business problems. You are familiar with the state of the art data & analytics tech stack and workflow automation platforms which helps you creatively solve your customers' automation and optimization problems.Business domain expertise: You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.).Our OfferWork with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home hereMake an impact and meaningfully shape an early-stage companyExperience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quoLearn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation packageGet access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Use the equipment of your choice including meaningful home office set-up.Our StanceWe're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to applyWe seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all earsAbout usTaktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.
Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.
Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.
Solutions Architect
Software Engineering
2025-10-19 12:09
Applied AI Researcher, Benchmarking
Distyl
101-200
United States
Full-time
Remote
false
Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking ForAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.Key ResponsibilitiesThe Benchmarking team defines how progress is measured. Researchers design evaluation frameworks that capture reasoning depth, interaction quality, reliability, and operational impact. They construct benchmarks that reflect real-world complexity. Their systems become the standard by which new architectures, techniques, and releases are judged.Researchers in Benchmarking explore new paradigms for evaluating intelligent systems: adversarial robustness testing, longitudinal performance tracking, and human-in-the-loop assessment. They investigate how metrics shape model behavior and establish rigorous methodologies for quantifying emergent capability. Their insights drive both Distyl’s internal research priorities and industry-wide standards.What We RequireExperience Designing and Running Evaluations: You’ve built or maintained benchmarks, test suites, or experimental frameworks to measure model or system performance.Statistical and Analytical Rigor: You design fair, reproducible experiments and can extract signal from noisy empirical results.Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We OfferAn opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC
Research Scientist
Product & Operations
Machine Learning Engineer
Data Science & Analytics
2025-10-19 12:09
Applied AI Researcher, System Discovery
Distyl
101-200
United States
Full-time
Remote
false
Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking ForAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.Key ResponsibilitiesAnalogous to hypothesis generation in the space of AI for scientific discovery, the System Discovery team focuses on identifying entirely new classes of AI systems. Researchers explore a wide range of architectures, modalities, and compositions to uncover how AI can most effectively reshape work.Draw connections across disparate domains to uncover new system archetypes. Experiment with unconventional problem definitions and develop prototypes that reveal new categories of human–AI collaboration.What We RequireExperience Building a Wide Breadth of Systems: You’ve built across many paradigms—retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, or workflow graph systems—and can abstract what makes each effective.Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We OfferAn opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC
Research Scientist
Product & Operations
Machine Learning Engineer
Data Science & Analytics
2025-10-19 12:09
Operations Scaling
Tandem
1001-5000
United States
Full-time
Remote
false
Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (Thrive Capital and General Catalyst) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the RoleAs a key member of Tandem’s Operations team, you’ll be responsible for the execution, performance, and continuous improvement of a core part of our business. You’ll lead a frontline team, own measurable outcomes, and work closely with engineering to optimize workflows and implement automation — including AI-powered tools — that scale our impact.This role is central to ensuring every patient and provider we support experiences fast, reliable, and high-quality service. You’ll combine analytical problem-solving with hands-on execution to deliver operational excellence, while continuously improving systems and processes as we grow.This is a high-ownership role that blends strategic thinking with execution intensity. You’ll have autonomy, visibility, and the opportunity to shape how Tandem delivers at scale. If you are low-ego, data-driven, and energized by building systems that make complex operations run beautifully — we want to hear from you.What You’ll DoOwn performance and outcomes across a core operational function — including throughput, quality, and reliabilityLead and develop a frontline team, setting clear goals, managing performance, and building a culture of accountability and excellenceDesign and improve processes, training, and quality systems to ensure consistency, scalability, and high impactUse data to drive insights and decisions — identifying gaps, diagnosing issues, and implementing solutions that improve performance and efficiencyPartner closely with engineering to design, test, and roll out automation and workflow improvements (including AI-powered tools and low/no-code prototypes)Deliver an exceptional experience for patients and providers through operational rigor and empathyCollaborate with leadership to inform strategy, forecast capacity, and shape how Tandem scales intelligently over timeWe’ll Be Most Excited If You Have2–8 years of experience in operations, consulting, finance, or another analytical, outcome-oriented environment (startup experience a plus)Proven track record of owning metrics and driving measurable improvement across operational functionsExperience building or managing high-performing teams and scaling workflowsStrong analytical and technical fluency — comfort working with data; bonus for SQL, automation tools, or AI-driven systemsA bias for action: you move fast, simplify complexity, and find leverage through systems and toolsExcellent communication and collaboration skills, with a reputation for being a high-NPS teammateA mindset of ownership, curiosity, and continuous improvementThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
No items found.
2025-10-19 12:09
Software Engineer, Agent
Descript
101-200
United States
Canada
Full-time
Remote
false
About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are hiring Software Engineers at the mid-career, senior, and staff levels to join a number of open roles on our Agent team, focused on building the future of Agentic Video Editing! About the team: Descript's Agent launched in Open Beta in July 2025. Since then, we've been working on improving the user experience for chat-based editing, adding more capabilities into our agent, and improving our agent infrastructure to continue to scale as models get better and better. The Agent team is a mix of AI Researchers and Software Engineers committed to our mission to make video editing accessible to anyone. Your peers will be based in San Francisco, New York, and distributed across the US and Canada. This is the role for you if any of the following areas sound exciting: Experimentation to push the limits on quality for our video editing agent (eg. harness and tool design, token/context optimizations, RL/new model development, multimodal, etc) Building a best-in-class product experience for agentic video editing interactions and improving user retention (eg. tuning prompt templates and other key user workflows, addressing user feedback, building key product capabilities like chat history, etc) Laying the foundations for a best-in-class developer experience for building agents (eg. logging, evals framework, online monitoring and feedback loops, etc) What you bring: Minimum Qualifications 3+ years of professional product engineering or fullstack experience Worked with Typescript, React, and RESTful APIs (or similar) Solid CS fundamentals, including data structures, algorithms, databases (Postgres, Redis) High ownership and growth mindset You thrive in collaborative environments and enjoy working with other functions (e.g. product, design, AI research) Extra credit! Experience building creative tools in the past or you're a frequent user of creative media tools. If you join Descript, you'll end up making lots of videos! Experience building agents, working evals infrastructure, or designing product experiences powered by LLMs Studies show that women and people of color are less likely to apply to jobs unless they meet every single qualification. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification above, please apply anyways. At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for these roles is $174,000-$286,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.
Software Engineer
Software Engineering
2025-10-19 12:09
Applied AI Researcher, AI Systems
Distyl
101-200
United States
Full-time
Remote
false
Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking ForAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.Key ResponsibilitiesThe AI Systems team focuses on designing compound, end-to-end architectures that orchestrate perception, reasoning, planning, and execution. Researchers integrate diverse components (LLMs, retrievers, evaluators, memory systems, and execution agents) into robust, scalable systems that perform reliably across dynamic enterprise workflows. Researchers in AI Systems investigate the governing principles behind complex system interactions. They study coordination, information flow, and emergent behavior across multiple agents and models. Their work identifies the underlying mechanics of robustness, composability, and alignment, in effect establishing the design language for how intelligent systems should be built.What We RequireExperience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We OfferAn opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC
Research Scientist
Product & Operations
Machine Learning Engineer
Data Science & Analytics
2025-10-19 12:09
Senior Solution Engineer
Taktile
101-200
Brazil
Full-time
Remote
true
About the roleTaktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1´000´000 critical business decisions every day.Taktile is based in Berlin, London and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath.We’re backed by some of the world’s leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more customers.That’s where you come in.We’re now expanding into Latin America and building our founding Solution Engineering team in São Paulo. As a Sr. Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will work in partnership with Taktile's Sales Team and are making sure our customers get value from Taktile throughout their entire lifecycle. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about state of the art tech products, have gathered a few years of experience working with Python and customers, and enjoy working as part of an awesome team that empowers you to grow, then we think you'll love this job!
ABOUT YOUYou know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts).You are curious and customer-centric. You enjoy learning about our customers’ and prospects’ businesses and helping them solve challenges. You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile.You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business.You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you’re always looking for ways to stand out with customers and prospects. You have excellent written and spoken English.What You'll DoYou discover and translate customer's strategic priorities and problem statements into high impact use cases leveraging Taktile during the sales process and throughout the entire customer value journey including adoption, expansion and renewal.You build demos, support our sales team and customers in building business cases and design and scope proof of value projects which demonstrate the value Taktile delivers for the customer within a short amount of time.You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform.You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives.You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile’s customers.You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap.You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function.You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions.Ideal, But Not RequiredLive for Customer Value: You have at least 3-5 years of experience working within Enterprise / "high touch" Solution Engineering, as a technical Customer Success Manager / Engineer in a B2B SaaS company or as (Technical) Senior Consultant.Technical expertise: You have a general understanding of REST APIs (design, integration, authentication)Data & Analytics: You have experience in applying and optimizing statistical and machine learning models to solve business problems. You are familiar with the state of the art data & analytics tech stack and workflow automation platforms which helps you creatively solve your customers' automation and optimization problems.Business domain expertise: You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.).Our OfferWork with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home hereMake an impact and meaningfully shape an early-stage companyExperience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quoLearn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation packageGet access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Use the equipment of your choice including meaningful home office set-up.Our StanceWe're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to applyWe seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all earsAbout usTaktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.
Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.
Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.
Solutions Architect
Software Engineering
2025-10-19 12:09
Applied AI Researcher, System Self-Construction
Distyl
101-200
United States
Full-time
Remote
false
Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking ForAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.Key ResponsibilitiesThe System Self-Construction team builds systems that can build other systems. Researchers design architectures capable of autonomously generating, assembling, and refining sub-systems. This involves developing meta-learning loops, automated pipeline generation, and self-architecting frameworks that reduce the human bottleneck in complex system creation.Researchers in Self-Construction study recursive design principles: how systems represent their own construction processes, evaluate them, and evolve. They draw from meta-learning, program synthesis, and evolutionary computation to explore what it means for a system to “understand” and redesign itself. Their work defines the frontier of self-referential, generative system architectures.What We RequireExperience Building Modular and Composable Systems: You’ve engineered architectures where components interact dynamically (e.g. graph-based planners, agent orchestration frameworks, workflow engines, or automated pipeline builders).Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We OfferAn opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC
Machine Learning Engineer
Data Science & Analytics
Research Scientist
Product & Operations
2025-10-19 12:09
Fullstack Software Engineering Manager, Observability & Evals Platform
LangChain
101-200
United States
Full-time
Remote
false
About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more..About the role:At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.What you will do:Lead the technical architecture and implementation of key product features for LangSmith working across our entire Go, Python, and Typescript stackPartner with product and design teams to build new features Drive aggressive project timelines while ensuring high engineering standards are being met.Lead by example in writing clean, maintainable, and well-tested codeWork closely with customers to understand their needs and shape the product directionHow to be successful in this role:Extensive experience in software engineering ideally working on fullstack, complex platform productsPrior experience building and managing a team of engineersStrong backend experience with Go and/or Python Strong frontend experience with React + TypescriptGood understanding of database systems, particularly Postgres and RedisExperience designing and scaling APIs ideally for high-throughput or data-intensive systemsA “get stuff done” attitude—comfortable shipping fast and iterating based on user feedbackStrong communication skills—able to collaborate with internal stakeholders and engage directly with customersOwnership mindset with a bias for action and a focus on delivering impactBonus: Experience building AI/LLM-powered applications, developer tools, and/or observability platformsCompensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Salary range: $200,000 - $235,000
Software Engineer
Software Engineering
2025-10-19 12:09
Head of Platform Engineering
Descript
101-200
United States
Full-time
Remote
false
Our vision at Descript is to build the next-generation platform for fast and easy creation of audio and video content. We are trusted by some of the world's top podcasters and influencers, as well as businesses like BBC, ESPN, HubSpot, Shopify, and The Washington Post for communicating via video. We've raised $100M from leading investors such as the OpenAI Startup fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital. About The Team We are seeking a Head of Platform Engineering to lead and scale our Platform organization. This organization at Descript is central to empowering our engineering teams to build and deliver products efficiently and effectively. Operating as an internal product team, the Platform group focuses on providing tools, infrastructure, and services that enable our engineers to deliver exceptional products to our users. You will be leading five teams across Platform, with expectations for continued growth in the next 6-12 months. The Platform organization encompasses: Infrastructure Team: Builds and maintains our core backend and development infrastructure, ensuring scalability, reliability, and performance. Builder Experience Team: Focuses on the foundations of our client applications, CI/CD, build, test, and release. AI Enablement Team: Develops and scales our AI/ML infrastructure to support cutting-edge research and integration of AI features into our products. Media Team: Scales and improves our proprietary media server which handles playback and media serving. Core Engineering: Responsible for monetization foundations (usage tracking, Stripe integration), identity services (auth, permissions, user/team management), and key enterprise integrations. Key Challenges Ahead: Infrastructure Scaling: Building a scalable, reliable, and performant infrastructure to support the growth of our engineering, data, and research teams. Product Transition: Leading the transition of our features and infrastructure from a desktop app-heavy product to a web-first and cloud-based user experience. Developer Experience: Establishing the foundations for a world-class developer experience, enhancing productivity and satisfaction across a fast-growing, full-stack engineering organization. AI/ML Integration: Scaling our AI/ML platform to support innovative research rapid productization of AI features, and a product feedback cycle for model improvements. This position reports directly to the VP of Engineering. What You'll Do Strategic Leadership: Develop and execute a strategic vision and roadmap for the Platform organization, aligning with company goals and ensuring cross-team collaboration. Team Development: Recruit, mentor, and grow engineering managers and engineers, fostering a culture of continuous learning and development. Operational Excellence: Ensure execution across the Platform teams is predictable, reliable, and sustainable, implementing best practices in project management and engineering processes. Cross-Functional Collaboration: Work closely with Product, Design, and other Engineering teams to ensure platform initiatives meet the needs of internal stakeholders. Innovation and Improvement: Drive innovation within the Platform organization, continually seeking ways to improve our infrastructure, tools, and processes. Culture Building: Help scale and evolve our company culture as we grow, promoting values of collaboration, inclusivity, and excellence. What You Bring Leadership Experience: Has 5+ years of engineering management experience, including leading multiple teams or an engineering organization, preferably in platform or developer experience domain. Technical Expertise: Demonstrates a strong technical background with experience in cloud platforms (GCP preferably), scalable infrastructure, and AI/ML technologies. Strategic Thinker: Can develop and communicate a clear vision, aligning teams and resources to achieve strategic objectives. Team Builder: Excels at creating collaborative, empowering, and high-performing team environments. Effective Communicator: Communicates clearly and effectively, both in writing and verbally, across technical and non-technical audiences. Adaptable and Resilient: Thrives in fast-paced, rapidly changing environments, with the ability to navigate ambiguity and drive results. Educational Background: Holds a Bachelor's degree in Computer Science, Engineering, or related field, or has equivalent professional experience. Nice to Haves Startup Experience: Experience managing engineering teams at a startup or high-growth company where the rate of change is extremely high. AI/ML Background: Familiarity with AI/ML platforms, tools, and practices. Developer Tools Expertise: Background in building developer tools and enhancing developer experience. The base salary range for this role is $224,000- $296,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.
DevOps Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-10-19 12:09
Applied AI Researcher, Post-Training
Distyl
101-200
United States
Full-time
Remote
false
Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking ForAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.Key ResponsibilitiesThe Post-Training team focuses on adapting foundation models to real-world performance and alignment requirements. Researchers develop and evaluate techniques such as supervised fine-tuning, preference optimization (DPO, RLHF, RLAIF), and continual adaptation to align models with Distyl’s enterprise systems. The goal is to bridge raw model capability with trustworthy, contextually aligned system behavior.Researchers in Post-Training investigate new methods for aligning large models with human and system-level objectives. They explore trade-offs between generalization and specialization, data efficiency and robustness, capability and controllability. Their work informs how Distyl leverages foundation models safely, effectively, and at scale across industries.What We RequireDeep Understanding of Post-training Techniques: Familiarity with supervised fine-tuning, preference optimization (RLHF/DPO), LoRA/PEFT, and instruction-tuning pipelines.Experience Adapting Frontier Models: You’ve tuned or adapted LLMs/SLMs to specialized domains or behaviors through data curation, reward modeling, or continual pretraining.Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We OfferAn opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC
Research Scientist
Product & Operations
Machine Learning Engineer
Data Science & Analytics
2025-10-19 12:09
AI Scientist - Robotics
Mistral AI
501-1000
France
Full-time
Remote
false
About MistralAt Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited.
At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.
Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.
What will you do*Research and develop novel AI methods for general-purpose mobile manipulation robots*Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale*Work cross-functionally with other scientists, engineers and product teams to deploy AI systems on real robot platforms
About you*You have hands-on experience either building and deploying AI systems on physical robots or developing large vision-language models*You are a highly proficient software engineer in at least one programming language (preferably Python)*You have hands-on experience with AI frameworks (preferably PyTorch)*You have high engineering competence. This means being able to design complex software and make it usable in production*You are a self-starter, autonomous and a team player
Now, it would be ideal if*You have experience in one or more of the following: navigation, manipulation, simulators, 3D, embodied reasoning or vision-language-action models*You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment*You have a strong publication record in a relevant scientific domain
Benefits in France💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship
Robotics Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
2025-10-19 12:09
Applied AI Researcher, System Self-Improvement
Distyl
101-200
United States
Full-time
Remote
false
Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking ForAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.Key ResponsibilitiesThe System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance. Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation. The goal: build AI systems that compound in capability through use.Researchers in Self-Improvement study how systems can form self-models—understanding when, why, and how they succeed or fail. They explore reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution. This work bridges reinforcement learning, interpretability, and meta-optimization to pioneer continuously learning enterprise systems.What We RequireExperience Building Feedback-Driven Systems: You’ve built or studied systems that monitor, score, and adapt—evaluators, retrievers, iterative refinement loops, or performance dashboards that close the feedback loop.Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We OfferAn opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC
Research Scientist
Product & Operations
Machine Learning Engineer
Data Science & Analytics
2025-10-19 12:09
Mid-Market Account Executive
Replit
201-500
United States
Full-time
Remote
false
Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is experiencing extraordinary demand and seeking a Mid-Market Account Executive with strong communication skills to drive our hyper-growth. Candidates with Mid-Market SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal.This full-cycle sales position encompasses both new client acquisition and existing customer support and retention, spanning all segments and geographies.We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.In this role you will…Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC eraServe as the primary point of contact for prospects and customers, guiding them through the buying journeyConduct compelling product demonstrations and help realize the art of the possible by orchestrating non-engineering hackathonsArticulate Replit's value proposition and align it with customers' business objectivesCollaborate with product and engineering teams to ensure technical accuracy and successful deliveryPrepare tailored quotes and skillfully negotiate dealsMaintain accurate customer and forecasting data in Replit’s CRM (Hubspot)Foster strong relationships with existing clients while identifying opportunities for expanded adoptionOptimize customers' use of the Replit platform through ongoing collaboration and supportGather and communicate valuable customer feedback, championing their interests within Replit
Required skills and experience:Experience in AE or SE/technical sales role, preferably in SaaS or developer toolsExcellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiencesProven track record of meeting or exceeding sales quotasExperience with, or direct observations of full-cycle sales, from prospecting to closing deals to managing existing customersProficiency in using CRM systems and sales tools (e.g., Hubspot)Ability to quickly learn and articulate the value of new technologiesStrong problem-solving skills and the ability to think on your feetSelf-motivated with excellent time management and organizational skillsPassion for technology and staying current with industry trendsExperience with or strong interest in AI and machine learning is a plusWillingness to travel up to 25% of the time for client meetings and eventsNice to have:You're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedIn Sales NavigatorHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area and/or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where 80% of your day is talking to others
Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Enterprise Sales
Marketing & Sales
2025-10-18 12:39
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