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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryHelp define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world.You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services.What You’ll DoDesign and build intuitive, beautiful web interfaces for ML/AI cloud usersIntegrate top-tier tooling, workflows, and models from the AI spaceOwn features end-to-end—from design to deployment to monitoringYou (Must-Haves)8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives.Deep expertise in modern IAM patterns and technologies:Authentication (OIDC, OAuth2, SAML)Authorization (RBAC, ABAC, fine-grained permissions)MFA and advanced authentication factorsSCIM and identity lifecycle managementExperience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale.Strong architecture and systems design skills for distributed, multi-tenant SaaS environments.Proven track record of delivering IAM features in security-sensitive, high-uptime environments.Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane).Nice-to-HavesExperience designing IAM systems for ML/AI or cloud infrastructure products.Hands-on experience with enterprise onboarding flows.Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure).Contributions to IAM standards or open-source identity projects.Leadership or mentorship experienceStrong academic background (EECS, Math, Software Engineering, Physics)Salary RangeThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.Final NoteYou don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. San Francisco, CA Perplexity is building the next generation answer engine that helps millions of people find information more effectively. We're looking for an AI Interaction Designer to craft conversations that are clear, helpful, and genuinely useful. What You'll Do You'll design how our AI communicates with users, transforming complex queries into clear, actionable responses. This is conversation design at scale—creating the communication patterns that millions of people rely on every day. This role involves: Building evaluation systems that maintain quality as we scale Creating feedback loops between user needs and AI improvements Collaborating with researchers, product teams, and engineers across the company What We're Looking For Exceptional Taste You have an intuitive sense of what makes communication work. You can spot the difference between a good response and a great one, and you know how to make it better. Technical Fluency You don't need to be a researcher, but you can hold your own with our technical teams. You're comfortable with Python, understand how language models work, and can implement your ideas through code. You naturally think about how individual improvements can scale across thousands or millions of interactions. You've built processes that work at scale before. Curiosity and Drive You're someone who elevates everyone around them. You have high standards but bring people along rather than leaving them behind. You're fascinated by how people naturally communicate and how technology can serve them better. Qualifications: Demonstrated passion for AI and can share specific prompt engineering and chaining projects you're proud of Background in data science, philosophy, psychology, linguistics, data science, or related fields Familiar with Python and running simple scripts High-level understanding of LLMs, training, RL Excellent communication skills, particularly in teaching complex concepts Creative problem-solving abilities with a "hacker spirit" for solving puzzles   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Want to use your engineering skills to make an impact? AI is the new electricity. Founded by AI visionary Andrew Ng, DeepLearning.AI is on a mission to empower everyone to build with AI. AI builders are needed across the world to transform industries with AI,  and we’re creating the products to enable them.  We’re looking for our next FullStack Engineer who brings together a foundation in development and a passion for building. As a FullStack Engineer Engineer, you will be responsible for building and delivering scalable, secure, and enterprise-grade learning experiences. We’re looking for a self-starter, who not only writes great code, but also brings together ideas and design sensibility, and can translate them into new features and intuitive user interfaces. You should have a deep understanding of user-centered design principles and enterprise product needs, including performance, compliance, and interoperability. You’ll be highly GenAI-enabled, leveraging AI-powered coding and design tools to accelerate development and deliver innovation at scale. In this role, you will help us rapidly prototype, iterate, and ship features that meet the demands of organizations and drive measurable business impact. You’ll be involved in the early stages of product development, working closely with the Product team to help identify, scope, and develop new features to improve the user experience and deepen the value of our products.  Here’s what you’ll do:Implement LMS integrations to extend platform interoperability.Build data reporting and dashboards to track learner and program performance.Develop user management and admin features for organizations and learners.Ensure privacy, accessibility, and information security compliance across all features.Design B2B platform features, such as co-branded landing pages, organizational leaderboards and social features, localization, custom programs, and curated catalogs.Maintain and evolve the marketing website to support growth and awareness.Act as a dedicated resource for timely bug fixes and platform reliability.Build self-serve signup and onboarding flows for smaller teams and organizations. Here are the skills you should have:Broad and solid CS foundation knowledge, including data structures & algorithms, operating systems, computer networks, and databases.At least 3+ years of software development experience, with proven end-to-end project delivery.Strong ability to convert ideas into running code efficiently.Frontend: Familiarity with technologies such as React.js, Next.js, Typescript, tRPC, and Tailwind.Backend: Familiarity  with the Python ecosystem (Linux, SQL, Django, FastAPI), APIs (REST, GraphQL).Proficiency with Docker and microservice architecture design.Familiarity with Test-Driven Development (TDD). Strong understanding of security concerns and best practices.A bachelor’s degree in CS or related technical field.Excellent communicator and team player with strong English language skills if not a native speaker yourself.Technical familiarity with machine learning, particularly using LLM APIs and frameworks beyond basic prompting - including tool calling, agentic workflows, RAG, and popular ML frameworks.High fluency/familiarity with tools such as Claude Code, Cursor, Windsurf or Cline.A keen interest in the Artificial Intelligence domain. Bonus if you have:Deep technical expertise in specific LLM applications such as finetuning, complex agentic systems, or production RAG implementations.Familiarity with Next.js App Router and deployment on Vercel.Experience with headless CMS architectures, API integrations, and performance optimization.Experience with Python ecosystem tooling beyond web frameworks (data, ML integrations, etc.).

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit  We are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research, MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services. What You’ll Do Independently executes the machine learning model development for research and product development projects with ML best practices Understands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fit Demonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product development Engaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML  Stewards, WiML, Journal Club, Maintaining and creation of documentation) Proactively identifies technical limitations of the current platform and proposes solutions towards solving core problems in digital pathology. Actively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding.  Actively contribute to scientific strategy with  abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals.   Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes. What You Bring To be successful in this role with us, you'll at least need: Master’s degree plus 3-4 years of professional experience or Ph.D in Computer Science or related field, preferably with a focus on artificial intelligence and machine learning 3-4 years of experience in developing and deploying state-of-the art machine learning and computer vision models in products/platforms Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skills Familiarity with overall machine learning and computer vision model development lifecycle including data pipelines, model training, evaluation and deployment. Publications or research in fields related to artificial intelligence and biomedical science is preferred Intellectual curiosity and the ability to learn quickly in a complex space We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. As our Staff Product Designer, you won't just be designing software. You'll be redesigning the future of healthcare delivery. You'll create experiences that give clinicians back time, reduce cognitive load, and enable doctors to give their patients undivided attention again.Healthcare is broken in ways most people don't see. Clinicians spend up much of their time on administrative tasks, leading to unprecedented burnout rates and compromised patient care. The current state of clinical documentation forces doctors to choose between looking at their patients or looking at their computers.This role is for someone who dreams big and can reimagine experiences. You'll be working on problems that have never been solved before, in an industry where design decisions impact human lives and wellbeing.What You'll Do:As our Staff Product Designer, you’ll shape the product experience at Abridge, setting a high bar for taste, clarity, and strategic thinking across initiatives that directly impact clinicians, patients, and care teams.You’ll collaborate deeply with cross-functional partners, immerse yourself in the complexity of clinical workflows, and bring structure and empathy to ambiguous problems. Whether you’re prototyping new ideas or refining existing features, you’ll advocate for design excellence at every stage of the product lifecycle.Simplify the Complex: Tackle our most challenging and ambiguous design and customer problems, transforming complex clinical workflows and AI capabilities into intuitive and delightful user experiences.Elevate Our Craft and Establish Design Standards Push the boundaries of visual and interaction design. You have an extremely strong command of design principles, motion, and prototyping, ensuring every pixel and interaction is meticulously considered and executed to perfection.Lead End-to-End Design Execution: Design for today’s needs and tomorrow’s challenges, translating early ideas into concrete, high-fidelity designs, prototypes, and user flows. No task is too small or too large when it comes to building exceptional products.Champion User-Centered Design: Advocate passionately for our users,clinicians who rely on our product daily. Engage in user research, synthesize insights, and ensure that every design decision is rooted in a deep understanding of their needs and pain points.What You'll Bring:7-12+ years of experience shipping impactful product design in complex domains. Bonus points for AI experience.A proven track record of leading significant design initiatives from concept to launch, demonstrating measurable impact on user experience and business outcomes.A high craft bar that you consistently meet and exceed. You sweat the details and inspire others to do the same.Exceptional communication, presentation, and storytelling skills that enable you to articulate design rationale and influence stakeholders at all levels.A highly collaborative spirit and a low ego, with a genuine desire to learn, teach, and grow with a fast-paced, high-performing team.Ideally, you’d have experience with:AI/ML productsConsumer mobileEnterprise product experienceThis is a hybrid role - you must be based out of New York or San Francisco or willing to relocate. Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for a talented multitasking Technical Escalation Manager to join our rapidly expanding, venture-backed startup.  We are building a modern knowledge assistant personalized to every employee in your organization, making all information within your company accessible, contextual, and fresh. Our team works hard and plays hard. We are professional, creative, passionate, and most importantly - customer-obsessed. Technical Escalation Manager is a critical role within our organization, responsible for overseeing the resolution of complex technical issues escalated by customers. This position requires a blend of technical expertise, customer-focused problem-solving, and strong communication skills. The Technical Escalation Manager will work closely with customers, support teams, and engineering to ensure that escalated issues are resolved efficiently and effectively, thereby enhancing customer satisfaction and product reliability. You will: Manage Technical Escalations: Serve as the primary point of contact for escalated technical issues from customers, ensuring thorough understanding and documentation of the problem. Lead the investigation of escalated cases, coordinating with engineering and support teams to diagnose and resolve issues. Cross-Functional Collaboration: Collaborate with Product Management, Engineering, and Quality Assurance teams to identify root causes of technical problems and implement solutions. Facilitate regular meetings with stakeholders to discuss ongoing escalations and resolution strategies. Customer Communication: Maintain direct communication with customers throughout the escalation process, providing regular updates and managing expectations. Gather customer feedback and insights during the resolution process to ensure their needs are met. Root Cause Analysis: Conduct thorough analyses of technical issues to identify underlying causes, documenting findings and recommending improvements to prevent recurrence. Work with engineering teams to develop and implement long-term solutions based on root cause analysis. Documentation and Knowledge Management: Create and maintain comprehensive documentation of escalated issues, resolutions, and best practices. Contribute to the development and improvement of internal knowledge base articles and training materials. Process Improvement: Analyze trends in technical escalations to identify areas for process enhancement, efficiency gains, and customer experience improvements. Recommend and implement changes to escalation processes and workflows based on data-driven insights. Reporting and Metrics: Track and report key performance metrics related to technical escalations, including response times, resolution times, and customer satisfaction scores. Prepare regular updates for senior management on escalation trends, challenges, and resolutions. Training and Mentoring: Mentor and train support team members on best practices for managing technical escalations and troubleshooting complex issues. Lead training sessions to enhance team capabilities in technical problem-solving and customer communication. Customer Advocacy: Act as a voice for the customer within the organization, ensuring their technical needs and concerns are prioritized in product development and enhancements. Build and maintain strong relationships with key customers to enhance loyalty and trust. About you: Problem solving: technical problem-solving skills including the ability to troubleshoot and isolate issues to their root cause Ability to debug issues including searching & reading application logs, analyzing stack traces and browser trace files Experience in at least one of the following disciplines: Customer Solutions Engineering, Support Engineering, Professional Services Hands-on experience in at least one of the following: Search technologies, Knowledge technologies, SaaS-based system integrations Experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure Must have experience in troubleshooting REST API issues Working experience on SSO, SAML, and OAuth along with network troubleshooting Able to fully document issues you manage and contribute to the support knowledge base Nice to have Knowledge of SQL/database, Basic Kubernetes, Intermediate/Advanced Linux Experience in using Github, Jira & Confluence Basic knowledge of LLM’s and how GPT works Location:  This role is hybrid (3 days a week in our Bangalore office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Hybrid

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Primary Purpose ​As an AI Data Specialist, you are responsible for supporting and driving the use of AI tool sets to define, develop, manage, and improve NiCE Enlighten AI’s data solutions.  In this capacity, you will act as an Interaction Analytics data expert who understands key data development and the impact of downstream cases and value to be derived from having data generated from unstructured interactions.  You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and Services teams blending your data expertise with best-in-class technology advancements and client insights to accomplish the team’s objectives.   AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions.  It’s that expertise, along with technical fluency that allow the Enlighten AI data team to build scalable out of the box data structures that dive operational and measurable outcomes.  The range of responsibility include the development of the underlying data structures, along with the ability to understand new and evolving client requests for improvement and the ability to incorporate those needs into a successful build and execution plan for your domain expertise. The ideal candidate is intellectually inquisitive, with strong communication, organization, analytical and technical capabilities.  As a self-starter, they are not afraid to roll up their sleeves to learn and validate evolving toolsets while maintaining focus on what success looks like with our ultimate goals for data solutions.  As they gain and maintain system and data expertise, the roll will continue to open up for direct client interactions, feedback capture and build plans. Primary Functions/Responsibilities Serve as the (team) focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.). Support validations of completed and evolving data structures to ensure high standards for precision and recall are met Test evolving tools from Research that support the development of the data structures. Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products. Work with client requirements to understand new requests and how we can or cannot meet them. Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices. Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc. Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets. As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions. The discussed Research Toolsets are primarily focused on customized topic and semantic modeling components that provide a system driven approach to defining datapoints that mater within CX interactions. AI Data Specialists utilize the output of these tools to create a range of datapoints and provide feedback to improve the accuracy and usability of the system’s outputs. AI Data Specialists are experts in the data, not the underlying AI algorithms and applications (i.e. Data Scientists) . Required Education ​Bachelors degree in Management, Finance, Business Intelligence / Analytics, or a related field. Masters degree preferred. Required Experience/Skills 5+ years of consultative account/program management experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider Experience with use of technology to build and analyze datasets for operational outcomes Experience with the development, positioning and quantification of operational recommendations Excellent oral and written communication skills in English Ability to create and deliver polished presentations using Microsoft PowerPoint to different levels of audience Ability to multi-task and meet deadlines when supporting requests that create competing priorities Ability to develop and maintain good working relationships with cross-functional teams Ability to communicate comfortably across all levels of corporate structure Ability to work with sales executives and assist with opportunities as subject matter expert Demonstrated ability to take the initiative and work in a self-directed manner Ability to thrive in a changing environment Preferred Experience Experience in Management Consulting This job description is not intended to be all-inclusive, and employee will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required. ​This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.     About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In 2023, we were one of 7 European companies to reach unicorn status. In February 2024, G2 named us as the fastest growing company in the world. We’ve raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role… Synthesia is building a modern, AI-powered back office. We are hiring a full-stack engineer to design and run the data layer that powers Finance ensuring data from finance systems land securely in a data warehouse and is easily consumed via Copilot (LLM) and Omni dashboards. You’ll be a cornerstone in our shift to modern finance workflows. Key Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and securely store data from NetSuite and other finance systems into Snowflake, ensuring data integrity, compliance, and security best practices (e.g., encryption, access controls, and auditing). Collaborate with finance and data teams to define data models, schemas, and governance policies that support modern finance workflows, including automated reporting, forecasting, and anomaly detection. Implement data retrieval mechanisms optimized for LLM-based querying via Co-pilot and/or similar tools, enabling natural language access to financial data while maintaining accuracy and contextual relevance. Build and optimize interactive dashboards in Omni for real-time visualization and analysis of key metrics, such as financial performance and operational KPIs. Monitor and troubleshoot data pipelines, performing root-cause analysis on issues related to data quality, latency, or availability, and implementing proactive solutions to ensure high reliability. Document processes, architectures, and best practices to facilitate knowledge sharing and scalability within the team. Qualifications: Bachelor's or Master's degree in Computer Science, Finance, Information Systems, or a related field. 5+ years of experience as a data engineer or analytics engineer, with a proven track record in full stack data development (from ingestion to visualization). Strong expertise in Snowflake, including data modeling, warehousing, and performance optimization. Hands-on experience with ETL tools (e.g., Apache Airflow, dbt, Fivetran) and integrating data from ERP systems like NetSuite. Proficiency in SQL, Python, and/or other scripting languages for data processing and automation. Familiarity with LLM integrations (e.g., for natural language querying) and dashboarding tools like Omni or similar (e.g., Tableau, Looker). Solid understanding of data security principles, including GDPR/CCPA compliance, role-based access, and encryption in cloud environments. Excellent problem-solving skills, with the ability to work cross-functionally in agile teams. At Synthesia we expect everyone to... Put the Customer First Own it & Go Direct Be Fast & Experimental Make the Journey Fun You can read more about this in our public Notion page. Location: LON or UK Remote UK Benefits 📍A hybrid, flexible approach to work where you have access to a lovely office space in Oxford Circus with free lunches on a Wednesday and Friday 💸 A competitive salary + stock options 🏝 25 days of annual leave + public holidays 🏥 Private healthcare through AXA ❣️ Pension contribution - Synthesia contributes 3% and employees contribute 5% on qualifying earnings 🍼 Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay 👉 You can participate in a generous recruitment referral scheme if you help us to hire 💻 The equipment you need to be successful in your role

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs a Senior Software Engineer – Model Training at Baseten, you’ll be at the forefront of building the infrastructure that powers large-scale training and fine-tuning of foundation models. You’ll design and implement distributed training systems, optimize GPU utilization, and create scalable pipelines that enable Baseten and our customers to adapt models efficiently and reliably. This role is highly technical and hands-on: you’ll own key components of our training stack, collaborate with product and infra teams to surface customer needs, and push forward the state of the art in scalable training infrastructure.RESPONSIBILITIESDesign, build, and maintain distributed training infrastructure for large-scale foundation modelsImplement scalable pipelines for fine-tuning and training across heterogeneous GPU/accelerator clustersOptimize training performance through techniques like FSDP, DDP, ZeRO, and mixed precision trainingContribute to frameworks and tooling that make training workflows efficient, reproducible, and developer-friendlyCollaborate with cross-functional teams (Product, Forward Deployed Engineering, Inference Infra) to ensure training systems meet real-world requirementsResearch and apply emerging techniques in training efficiency and model adaptation, and productionize them in the Baseten platformParticipate in code reviews, system design discussions, and technical deep dives to maintain a high engineering barREQUIREMENTSBachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience4+ years of experience in software engineering with a focus on ML infrastructure, distributed systems, or ML platform engineeringHands-on expertise in distributed training frameworks (FSDP, DDP, ZeRO, or similar) and ML frameworks (PyTorch, Transformers, Lightning, TRL)Strong understanding of GPU/accelerator performance optimization and scaling techniquesExperience designing and operating large-scale systems in production (cloud-native preferred)Excellent problem-solving and communication skills, with the ability to work across infrastructure and ML boundariesNICE TO HAVEExperience building APIs, SDKs, or developer tools for ML workflowsFamiliarity with cluster management and scheduling (Kubernetes, Ray, Slurm, etc.)Knowledge of parameter-efficient fine-tuning methods (LoRA, QLoRA) and evaluation pipelinesContributions to open-source distributed training or ML infra projectsExperience with cloud environments (AWS, GCP, Azure) and container orchestrationBENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Customer Support Engineer Location: India (Remote)  About the role: As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time. Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support) Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers. Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers. Qualifications 5+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI  Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments. Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages. Familiarity with operating storage systems in HPC environments such as Vast and Weka Familiarity with inspecting and resolving network-related errors  Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters. Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success. Strong sense of ownership and willingness to learn new skills to ensure both team and customer success. Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.  Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work for the respective hiring region. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

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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.About the RoleWe’re looking for a Senior Growth Engineer to accelerate the product flywheel across activation, retention, collaboration, and monetization. You’ll own end-to-end experiments and features, instrument product analytics, and ship fast, measurable improvements to core funnels. Expect a tight build–measure-learn loop, deep ownership, and lots of time with real users.What You’ll DoMove the metrics that matter: design and run A/B/n tests to improve sign-up, activation, collaboration, and retention; validate with trustworthy instrumentation and guardrails.Ship full-stack growth features: onboarding flows, in-product education, checklists, templates, referrals, pricing/paywall UX, and lifecycle triggers (email/in-product).Build growth infra: experiment frameworks, targeting/segmentation, holdouts, attribution, and feature flagging.Collaborate deeply: partner with Design, Data, Product, Marketing, and Sales to prioritize hypotheses and land launches that actually change behavior.Keep the funnel healthy: anti-abuse, bot/low-quality traffic detection, and experiment ethics.What You’ll Bring5–8+ years building and shipping user-facing products with measurable impact; you’ve meaningfully moved activation/retention or revenue metrics at scale.Full-stack TypeScript experience across React, APIs and backend.Strong product sense + analytical rigor: you write SQL, define success metrics, and know when to pivot or double-down.Experience with experimentation platforms (homegrown or vendor), event schemas, and cohort/segmentation analysis.Bias to action: you prototype quickly, validate with users, and ship.Nice to HavePLG experience in devtools or AI productsLLM/agents experience (prompting, evals).SEO/landing-page systems, referral loops, or collaboration network effects.Prior work on enterprise trials, self-serve to enterprise bridges, and sales-assist workflows.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 hybrid role has an in-office requirement of Monday, Wednesday, and Friday

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!At Snorkel AI, we’re solving one of the biggest bottlenecks in enterprise AI: high-quality labeled data. Our Data-as-a-Service (DaaS) offering combines the power of programmatic data labeling and human-in-the-loop workflows to deliver training datasets faster, with higher accuracy, and at a fraction of the manual cost. Unlike traditional data labeling vendors, which rely heavily on manual processes, Snorkel AI’s approach is automated, iterative, and built for customization at scale. Backed by years of Stanford research and trusted by leading Fortune 500 enterprises and government agencies, Snorkel helps teams ship ML products faster by transforming how training data is created. We’re looking for a strategic and consultative Enterprise Account Executive to drive growth of our DaaS offering among large and innovative enterprises. This role is ideal for someone who understands the limitations of manual labeling and is ready to offer customers something more scalable, customizable, and impactful. If you're excited about selling differentiated, next-generation solutions that redefine an entire category, we’d love to talk. Key Responsibilities: Own the end-to-end multi-stakeholder, consultative sales process for Snorkel AI’s Data-as-a-Service offering, targeting enterprise accounts with a focus on long-term customer success. Proactively prospect, identify, qualify and develop a sales pipeline with a focus on large fortune 1000 companies (new logos) while running an efficient sales process. Develop deep understanding of customer challenges in data labeling, ML model development, and AI/ML deployment. Translate those challenges into tailored DaaS solutions, working closely with our technical and delivery teams. Differentiate Snorkel’s value vs. traditional labeling platforms by emphasizing automation, iteration, and quality. Work closely with Solutions Engineers and Delivery teams to design and scope pilot and production engagements. Contribute market intelligence and customer feedback to Product and Marketing teams Maintain accurate forecasting and deal progression in Salesforce or equivalent CRM. Qualifications: 5+ years of enterprise sales experience in AI/ML, data services/ infrastructure, or technical services. Strong track record of overachievement and hitting sales targets, closing six- and seven-figure enterprise deals with technical and executive stakeholders. Experience selling in a competitive space where you had to position against entrenched incumbents or first-generation technologies. Technical background (CS, engineering, math, or statistics) or equivalent experience working closely with technical teams. Deep understanding of machine learning workflows, training data needs, and the enterprise AI stack. Comfort navigating both technical and business value conversations. Excellent storytelling and value-based selling skills. Ability to thrive in a fast-paced, collaborative, and rapidly changing environment. Highly intelligent. High EQ. Self-aware, Coachable. Resourceful. Humble. Experience working for an innovative high growth tech company (SaaS, IT infrastructure or similar preferred). Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ’s Wireless Technology Team works cross-functionally with electrical engineering, software, product design, industrial design, program management, and operations to deliver successful products to market. As a Senior Antenna Engineer, you will drive the product from conception to production. This includes simulations, prototyping, measurements (in the field and in the lab, both active and passive), writing antenna specifications and test plans, reviewing compliance lab reports, and leading efforts to resolve antenna-related challenges that arise. What You Might Do Architect and design high-performance antennas throughout the full product development cycle. Drive EMI and RF desense mitigation through advanced simulations and testing to meet regulatory and performance requirements. Partner with manufacturing teams to ensure robust, high-quality antenna system implementation. Utilize industry-standard tools (XFDTD, HFSS, CST, etc.) for accurate simulation modeling; perform material characterization, prototype development, and anechoic chamber measurements (ETS). Generate clear, data-driven reports and presentations to communicate findings and design decisions. Innovate antenna solutions optimized for small form-factor devices. Collaborate closely with internal cross-functional teams and external JDM/CM partners to successfully launch wireless products to market. Essential Qualifications 5+ years of experience shipping high-volume consumer electronics products with multiple wireless communication technologies. Deep expertise in antenna design and electromagnetics, with proven experience delivering antennas for consumer electronics and wearable devices. Proficient in EM simulation tools (ANSYS HFSS, CST) and skilled in Matlab or equivalent platforms for data analysis and post-processing. Hands-on experience with RF lab equipment, including 3D anechoic chambers, VNAs, and spectrum analyzers for antenna and RF subsystem validation. Strong ability to balance cost, performance, and form factor trade-offs in antenna development for compact wearable designs. Solid understanding of carrier certification processes and regulatory compliance (FCC, CE, etc.) to ensure product readiness for global markets. Hands-on experience measuring system performance parameters such as sensitivity, EVM, S-parameters, emissions, stability, and output power. Ability to travel to factories to support builds. Preferred Skills Passionate about working in highly creative, fast-paced, and collaborative teams alongside industrial designers, software engineers, and UX designers. Experience with Python and ADS for RF simulation and test automation. Experience with schematic capture and circuit board layout design tools. Knowledge of PCB design and efficiency in using Cadence tools (CIS, Allegro). Ability to drive tasks independently and communicate issues/root-cause analysis clearly. Strong presentation skills with experience engaging senior leadership. Salary range: $140,000 - $225,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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About CentralWhat is Central?Central kills back-office work for startups.While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more.That's 10+ hours back every month. Thousands of founders trust Central, including high-growth companies like Magic Patterns, Wordware, and Bitesight.Learn more and start for free at centralhq.com.Why Central?Founders start companies to solve problems and build something that matters. Not to become HR managers. Yet here we are in 2025. Despite countless $10B+ 'solutions', founders are still drowning in back-office bullshit. Why? Because every platform was built for HR professionals, not founders. Today, every founder still has to: Register in multiple states. Set up workers' comp. Categorize expenses. Decipher government letters. Pay invoices. Update addresses. Manage equity. Troubleshoot insurance. Answer PTO questions. The list never ends. What a waste of time. But what's worse is the constant anxiety: What am I missing? Did I do this right? Will I get fined? What founders need isn't another tool they have to learn and manage, but something that actually does the work. All of it.As a founding member, you'll have a seat at the table and help Central scale to serve thousands of companies and founders. Our cultureCentral is a high-performance sports team with an extremely high bar and 3 core values:Think clearlyShow high agencyCraft magic---------What you’ll doArchitect mission-critical workflows: Design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements.Iterate rapidly: Ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly.Own your domain: Act as the technical product lead for core platform areas—setting standards for code quality, observability, testing, and operational excellence.Delight and empower customers: Partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise.Push the limits with AI: AI is part of the DNA at Central. We believe we can leverage it in a variety of ways to automate things that were previously impossible and create completely new user experiences.Who you areExperienced systems architect: You’ve designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, and ensuring end-to-end reliability.Distributed-transaction specialist: You’ve implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—handling two-phase commits, sagas, idempotency, and compensating actions to keep data consistent.Deep transactional-pipeline expertise: Comfort building reconciled workflows with audit trails and automated recovery, especially when orchestrating financial or compliance-related operations.Reliability-first mindset: You bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation from day one.Scalability & performance focus: You understand caching, queueing, rate-limiting, and have tuned systems to handle rapid growth without sacrificing latency or correctness.Strategic thinker & communicator: You break down complex trade-offs into clear plans, document your designs, and keep cross-functional stakeholders aligned.Bias toward action & high standards: You ship prototypes quickly, iterate based on real feedback, and insist on production-ready quality in every release.What we offerCompetitive salary and equityComprehensive benefits: Medical, dental, vision, 401k (US employees only)Unlimited PTO and sick leaveRemote work2-4 off-sites per yearNote for US Roles: We do not provide visa sponsorship. You must be authorized to work in the U.S.

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About CentralWhat is Central?Central kills back-office work for startups.While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more.That's 10+ hours back every month. Thousands of founders trust Central, including high-growth companies like Magic Patterns, Wordware, and Bitesight.Learn more and start for free at centralhq.com.Why Central?Founders start companies to solve problems and build something that matters. Not to become HR managers. Yet here we are in 2025. Despite countless $10B+ 'solutions', founders are still drowning in back-office bullshit. Why? Because every platform was built for HR professionals, not founders. Today, every founder still has to: Register in multiple states. Set up workers' comp. Categorize expenses. Decipher government letters. Pay invoices. Update addresses. Manage equity. Troubleshoot insurance. Answer PTO questions. The list never ends. What a waste of time. But what's worse is the constant anxiety: What am I missing? Did I do this right? Will I get fined? What founders need isn't another tool they have to learn and manage, but something that actually does the work. All of it.As a founding member, you'll have a seat at the table and help Central scale to serve thousands of companies and founders. Our cultureCentral is a high-performance sports team with an extremely high bar and 3 core values:Think clearlyShow high agencyCraft magic---------What you’ll doArchitect mission-critical workflows: Design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements.Iterate rapidly: Ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly.Own your domain: Act as the technical product lead for core platform areas—setting standards for code quality, observability, testing, and operational excellence.Delight and empower customers: Partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise.Push the limits with AI: AI is part of the DNA at Central. We believe we can leverage it in a variety of ways to automate things that were previously impossible and create completely new user experiences.Who you areExperienced systems architect: You’ve designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, and ensuring end-to-end reliability.Distributed-transaction specialist: You’ve implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—handling two-phase commits, sagas, idempotency, and compensating actions to keep data consistent.Deep transactional-pipeline expertise: Comfort building reconciled workflows with audit trails and automated recovery, especially when orchestrating financial or compliance-related operations.Reliability-first mindset: You bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation from day one.Scalability & performance focus: You understand caching, queueing, rate-limiting, and have tuned systems to handle rapid growth without sacrificing latency or correctness.Strategic thinker & communicator: You break down complex trade-offs into clear plans, document your designs, and keep cross-functional stakeholders aligned.Bias toward action & high standards: You ship prototypes quickly, iterate based on real feedback, and insist on production-ready quality in every release.What we offerCompetitive salary and equityComprehensive benefits: Medical, dental, vision, 401k (US employees only)Unlimited PTO and sick leaveRemote work2-4 off-sites per yearNote for US Roles: We do not provide visa sponsorship. You must be authorized to work in the U.S.

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a Mechanical Engineer to design, test, and implement key hardware components that are part of the robot ecosystem. Responsibilities: Design parts in 3D CAD that satisfy load conditions, industrial design form factor, and durability requirements. Build prototypes to test assembly, range of motion, and wire routing. Generate accurate 2D drawings using GD&T per ASME Y14.5. Work with our GSM team to select a supplier and order parts. Inspect first articles, build test stands, and provide continuous support for parts on robot development platforms. Requirements:  2+ years of experience in mechanical engineering. Bachelor’s or Master’s degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field. Expert in using 3D CAD software to design parts with complex geometry. Experience designing and building prototypes. Experienced with simulation and analysis methodology (FEA, MATLAB, etc.). Ability to write and maintain clean documentation for design processes.  Experience with electromechanical integration, such as sensors, motors, motor drivers, wire harnesses, and communication buses. Bonus Qualifications:  Experience with high volume manufacturing processes. Experience working with contract manufacturers. CATIA V6 Experience. Wire harness design experience. The US base salary range for this full-time position is between $120,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Infrastructure team:Multi-cloud capacity managementInference on B200 GPUsMulti-node inferenceFractional H100 GPUs for efficient model servingRESPONSIBILITIESArchitect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.Lead technical initiatives to productize secure and scalable private connectivity solutions.Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.REQUIREMENTSBachelor's degree or higher in Computer Science or related field5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environmentsPast experience working with enterprise security, compliance, and privacy requirementsAdvanced understanding of distributed systems concepts, cloud architectures, and performance optimizationDemonstrated ability to independently manage technical projects, from planning and specification through implementationExcellent collaboration and communication skills, with experience coordinating across functional teams and directly with customersPreferred experience working with AI/ML systems or familiarity with MLOps practicesBENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. As an AI Tutor - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing - you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.Although every project is unique, you might typically: Crafting original, clear, and fact-checked responses based on project guidelines. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or Bachelor’s Degree in communications, linguistics, literature, journalism, or education to ensure a strong understanding of grammar and stylistic features. You have at least 3 years of professional experience. Your level of English is proficient (C2). You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.