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About FurtherAIAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised more than $30M from top investors (Andreesen Horowitz, YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Software/AI Engineer (New Grad) to join our early team and help shape both our product and culture. About the RoleWe’re looking for a Software / AI Engineer (New Grad) to join our engineering team and help build the foundation of FurtherAI’s AI Workspace for Insurance.In this role, you’ll work on end-to-end product features spanning AI model integration, data processing pipelines, and scalable backend systems. You’ll collaborate closely with senior engineers, AI researchers, and founders to bring real-world insurance workflows to life — transforming how underwriters, claims adjusters, and brokers get work done.This is a rare opportunity to join a technical, high-performing early team and grow quickly alongside the company. Why Join FurtherAI?High Impact: Work on technology that’s redefining how AI powers the modern insurance enterprise.Hands-On Learning: Collaborate directly with senior engineers, AI scientists, and founders building real applied AI.Mission-Driven: Help modernize one of the world’s most complex industries with practical, explainable AI.Early Team: Gain full visibility into product, research, and customer impact — shaping the foundation of our AI Workspace for Insurance as we scale. Responsibilities:Develop, test, and deploy production-level code across our backend and AI systems.Collaborate with AI researchers to integrate and optimize large language models for insurance workflows.Build data processing and evaluation pipelines for unstructured document inputs (PDFs, emails, images).Contribute to core infrastructure, from APIs to orchestration logic powering our AI Workspace for Insurance.Work cross-functionally with product and customer teams to identify and solve real business problems with AI.Participate in design reviews, code reviews, and rapid iteration cycles.You Might Be a Fit if You:Are a recent CS, EE, or related STEM graduate (Bachelor’s or Master’s) with a strong foundation in software engineering.Have hands-on experience with Python, TypeScript/JavaScript, or similar modern languages.Understand or are excited to learn about large language models (LLMs), NLP, or applied AI systems.Are curious, resourceful, and comfortable working in fast-moving, ambiguous environments.Want to see your code drive visible impact in the real world — not just in research.Bonus:Previous internship or project experience in AI/ML or full-stack development.Experience working with frameworks like PyTorch, LangChain, or FastAPI.Interest in insurance, fintech, or other regulated industries.Tech Stack - Python, FastAPI, TypeScript, Next.js, React, PostgreSQL, AWS, LangChain, OpenAI APICompensation and BenefitsFully covered, best-in-class health, dental, and vision benefitsCompetitive Compensation, meaningful stock options, company 401(k)Unlimited PTOOutstanding in-office culture in the heart of San FranciscoLunch and dinner onsiteTeam events, such as happy hours and off-sitesPre-tax Commuter benefits

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $58 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.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.

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.RoleAs an Aerodynamics Methodology & Software Engineer at Harmattan, you will bridge the gap between aerospace physics and high-performance software engineering. Your mission is to professionalize our internal computational ecosystem, manage our HPC/Cloud infrastructure, and transform research-grade scripts into production-ready engineering software. You will act as the lead architect for our agentic AI workflows, developing custom MCP servers and LLM-ready repositories to automate complex simulation loops and design optimisations. You are the engineer of the automated toolchains that allow our team to iterate on UAV designs with unprecedented speed and fidelity.ResponsibilitiesSoftware Professionalization: Refactor research scripts and "specialist tools" into modular, high-performance, and maintainable Python/C++ libraries. Implement robust unit-testing and documentation standards. Make sure the team members follow the structure when developing code.AI-Augmented Engineering & Orchestration: Architect agentic workflows and custom MCP (Model Context Protocol) servers to bridge LLMs with internal CFD solvers and databases; codify engineering tribal knowledge into SKILLS.md or CLAUDE.md files to enable AI-driven code refactoring, automated simulation setup, and intelligent data analysis.MDAO Toolchain Integration: Architect a unified design environment by developing APIs and automated workflows that link disparate tools (e.g., OpenVSP, XFoil, and OpenFOAM) into seamless optimization loops.Infrastructure & Scalability: Manage and optimize our calculation infrastructure, including Linux-based HPC clusters (Slurm) and/or Cloud computing (AWS/Azure).Aero Database (ADB) Management: Design the data architecture for storing and retrieving high-dimensional aerodynamic results, ensuring the GNC and flight physics teams have "single-source-of-truth" access to vehicle performance data.RequirementsEducation: B.S., M.S., or Ph.D. in Aerospace Engineering, Computer Science, or Informatics with a proven track record in the aerospace sector.Aerospace Background: Familiarity with the aerospace physics, data structures and I/O of industry tools such as OpenFOAM, ANSYS, XFOIL, OpenVSP, or QProp.Advanced Programming: Expert proficiency in Python (NumPy, SciPy, Pandas) and ideally C++.Modern AI & Agentic Systems: Proven ability to develop LLM-integrated tools and MCP servers that automate engineering tasks; experience maintaining "AI-ready" repositories using structured instruction files and building neural surrogate models to accelerate physical simulations.DevOps & Infrastructure: Knowledge of Git/GitLab (CI/CD, Runners) and Linux/Unix environments. Experience with Bash scripting and Cloud-scale computing (AWS).Nice-to-HaveNumerical Methods: Hands-on experience using CFD or other physical solvers. Able to select appropriate physics models (for example turbulence models), configuring numerical schemes, and fine-tuning solvers.Machine Learning in Data Science: Knowledge in setting up surrogate models and tools for engineering practices (surrogate models)We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $58 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.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.

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We're hiring a Forward Deployed AI Engineer, based at our HQ office in Sydney.This is a unique role that will have an immediate impact on Lorikeet’s growth by directly addressing one of our customers’ biggest opportunities to-date: getting Lorikeet trained up and deployed as fast as possible!As a Forward Deployed AI Engineer at Lorikeet, you'll be the bridge between Lorikeet's technology and our clients' success. You'll work directly with customers to understand their needs, implement AI solutions, and ensure they get maximum value from Lorikeet.You’ll serve as an AI expert for our customers, integration expert, and problem solver, forging strong relationships and great outcomes for their customers. This is a unique opportunity to take a technical background or mindset and a curiosity about AI and turn it into a high impact career.Over time, you’re going to break new ground with our customers and help them enable mind-blowing experiences for their end users. The sky is the limit for what you’ll be able to help our customers do, and for the right candidate, that’s the most exciting part.What you'll doBe an AI expert and evangelist for Lorikeet’s customer baseLead AI implementation projects from kickoff to successful deploymentBuild and configure workflows in Lorikeet's AI tools to meet each unique customer’s goalsUnderstand customers’ businesses and recommend innovative AI solutions beyond typical customer support to achieve their business goalsWork with our product team to represent customer needs, provide feedback, and inform both our short-term and long-term product strategyGuide customers through technical implementation while building strong relationshipsSolve complex integration challenges creatively and efficientlyThe right candidateThis role is perfect for someone who is (1) deeply interested in AI, (2) is excited to build technical skills relevant to AI, and (3) is energized by operating at the nexus of the technical implementation of AI and ensuring customer success.We need someone who is technically-minded and excited to dive into the technical aspects of AI, loves building, learning, and tinkering, and most importantly, is hyper-focused on customer impact.As an early team member, you’ll have the agency to identify what needs to be done and take initiative to make it happen. You'll have the opportunity to shape not just individual client implementations, but also our overall approach to customer deployment and success.Our customers and revenue are >50% in the US, but today most of our team and our headquarters is in Sydney, Australia, where we’d love to host you for onboarding.Have 2-5 years of client-facing experience in management consulting, technical implementation, or similar rolesHave a technical background, training or mindset. This may be a CS or engineering major, experience in math or stats, or a track record of learning and using technical skills (e.g. building with no or low code tools, doing data analysis, etc.). Previous software engineering experience is not required, but is very useful.Are a strong project leader with a track record of independently leading complex technical solutions (e.g. you are organized, reliable, and extremely high-agency)Have experience building & managing stakeholder relationships (e.g. you’re very comfortable working with external clients)Possess strong communication skills (e.g. you can effectively listen on all levels, and have the ability to explain technical concepts to non-technical stakeholders)Have a solution-oriented mindset (e.g. you love to think creatively to solve problems and “hack” systems to do unexpected things)Are excited about AI, knowledgeable and already tinkers with it (e.g. you’re a ChatGPT power user, or build AI projects in your spare time)If you don't quite match this and are from an underrepresented background, we strongly encourage you to reach out! We know firsthand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences.About LorikeetLorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.We're doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what's next: providing personalized concierge services to their customers.To deliver this combination of powerful AI systems and well designed tooling we're leveraging Jamie's experience as an early member of Google's generative AI team and Steve's experience building for operational teams at Stripe, as well as the experience of our team who've joined us from places like Stripe, Canva, Atlassian, Dropbox and Dovetail.We are growing fast, have paying customers, real revenue, an exciting roadmap and a strong sales pipeline. We've raised over USD $50M from leading VCs and angel investors, including QED, Blackbird, Square Peg, Claire Hughes Johnson (ex-Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).Our global customers include:The largest telehealth company in AustraliaThe largest bank for teens in the USOne of the largest NFT marketplaces by trading volumeThe leading virtual specialty-care platform in the USOne of the largest flexible rent-payment platforms in the USOne of the largest Web3 gaming companies… and a handful of other enterprise customers with over 1 million support tickets a year.What's unique about this opportunityWarm, mature, flexible culture. Low ego, high trust team. No tolerance for 'talented jerks'. We embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We're committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out — we value user obsession and eagerness to learn over traditional credentials.High pay, high expectations, high performance. We aim to match unicorn / scale-up pay at base salary and offer a potentially life-changing equity stake in the business. Our team gets the same monthly updates we send to our investors because they're investors and owners too.On the technical cutting edge. With our users we're defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI-first company are — it's white space for us to invent. The AI agent problems we're solving are beyond the cutting edge at the biggest research labs. We're building on a modern tech stack, with TypeScript, React/Remix, PrismaORM, NestJS and some Python sprinkled in.No nonsense recruitment process. The process is: 1) informal chats with our hiring team to hear our pitch and understand your interests and goals, 2) a two day paid work trial where you come in and ship with us. There's no better way for each of us to figure out if we like working together than to work together!

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $34 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.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.

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The RoleWe're looking for a talented, hungry, and technically excellent Product Engineer to join our team.In this role you will dream up, build, and ship LM Studio features to millions of users worldwide, at a fast clip. You will be intermixing UI work with systems engineering, design, and applied AI / agentic engineering work.You may be a good fit if you love building software products, have an innate talent for crafting product experiences, and you approach technical problems with a scientific method mindset. Holistic understanding of software systems and the ability to work across the stack is a must. Experience building desktop applications is a big plus, but not required.This role is in-person in our New York City office. Relocation assistance is possible. In your application, please share technical details about your expertise and things that you've built.Relevant experience: React, TypeScript, Electron, Swift, Objective-C, C++.LM StudioWe aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love.Our Interview ProcessWe are looking for engineering excellence and strong values / cultural fit. If your application appears to be a good match we'll reach out to schedule an initial call. If all goes well, we will proceed to 2-3 technical interviews. The final step in the process is an onsite interview in our New York office, where you will work through several more technical sessions focused around system design and architecture, meet the team and see how we work.

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About the TeamThe Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world.Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy.Learn more about OpenAI’s approach to safetyAbout the RoleAs a Data Scientist in Safety Systems, you will establish the data-driven approach for understanding, evaluating, and monitoring the safety of our production systems. You should expect to collaborate with our partners across the company to define north-star metrics, own and implement the statistical methods to productionize those metrics, conduct analysis to understand the impact of our products, and establish source-of-truth dashboards that the entire company can use to answer safety-related questions. Most importantly, you will be a core member of the Safety Systems team, collaborating with researchers and engineers to advance our goals of safe, robust, and reliable AI.This role is based in our San Francisco HQ. We offer relocation assistance to new employees.In this role, you will:Lead our efforts in understanding and measuring the real-world safety impacts of OpenAI’s current and upcoming productsUncovering new ways to improve our approaches to measuring and mitigating harm and abuseDevelop and implement statistical methods necessary to operationalize safety-related metricsProvide direction, guidance, and coordination of projects in the spaceEstablish a data-driven culture within Safety Systems by driving the definition, tracking, and operationalizing of feature-, product-, and company-level metricsCreate and disseminate dashboards, reports, and tools that enable the team and company to answer safety-related questions independentlyDevelop safety data flywheel and provide safety research with production insights/data for training and evaluation.You might thrive in this role if you have:5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as a founding data scientist or team lead at a hyper-growth product company or research orgProven leadership skills, including leading multiple data scientists and cross-functional teamsExpertise in defining and implementing metrics, with a track record of operationalizing new feature and product-level metrics from scratchExcellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alikeStrategic insights that extend beyond traditional statistical significance testing.You could be an especially great fit if you have:Experience in trust and safety, integrity, anti-abuse, or related fieldsDemonstrated prior experience in NLP, large language models, or generative AIStrong statistical background, including knowledge of sampling, regression, causal analysis, and moreAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.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.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $34 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.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.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $15 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.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.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare).Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility.Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).Incorporate big data processing scenarios requiring scalable computational approaches.Verify solutions using Python with standard data science libraries and statistical methods.Document problem statements clearly with realistic business contexts and provide verified correct answers. CompensationOn this project, contributors can earn up to $21 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field. You have at least 5 years of hands-on data science experience with proven business impact.You have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis.You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).You have good understanding of MLOps practices and model deployment workflows.You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).Your level of English is advanced (C1) or above.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.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare).Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility.Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).Incorporate big data processing scenarios requiring scalable computational approaches.Verify solutions using Python with standard data science libraries and statistical methods.Document problem statements clearly with realistic business contexts and provide verified correct answers. CompensationOn this project, contributors can earn up to $21 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field. You have at least 5 years of hands-on data science experience with proven business impact.You have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis.You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).You have good understanding of MLOps practices and model deployment workflows.You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).Your level of English is advanced (C1) or above.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.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.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 RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $24 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply 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.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.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.

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About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.About the TeamThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.About the RoleThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.Location(s)West: San Francisco, Pacific Northwest, Southern CaliforniaCentral: Austin, Chicago, DenverEast: New York, AtlantaEMEA: London, AmsterdamToronto, CanadaWhat You’ll DoCo-architect and co-build production AI agents with customer engineering teamsOwn the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluationsHelp customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflowsAdvise customers post-sale on architecture, best practices, and roadmap-level decisionsRun technical demos, trainings, and workshops for developer audiencesSurface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customersOccasionally contribute code upstream when it meaningfully improves customer outcomesWhat You’ll Bring3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-upStrong Python, JavaScript and systems fundamentalsHave designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handlingAre comfortable working directly with customers during POCs, architecture reviews, and technical evaluationsCan explain technical tradeoffs clearly and build trust with developer audiencesTake responsibility for outcomes, not just recommendationsHave a bias toward action and enjoy figuring things out as you goAre excited about operating AI agents in production, not just building demosNice to Have’s:You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworksWorked with LLM evaluation, observability, or guardrailsHave experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes conceptsHave shipped and operated production software and are comfortable owning systems under real-world constraintsCompensation & BenefitsWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

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Company OverviewDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. 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 Applied Engineer to join our Applied Engineering team, operating in the Forward-Deployed Engineer (FDE) role with a focus on federal customers. In this role, you will embed directly with our most strategic federal accounts to lead complex deployments of Deepgram's Voice AI platform in production environments where mission performance matters, delivery is urgent, and ambiguity is the default. You will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap. As a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.Note: this role is based remotely out of the Washington D.C. Metropolitan area.About Applied Engineering at DeepgramThe Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, 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 Relations (DevRel) 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 operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that often have unique infrastructure constraints, compliance requirements, and security considerations. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.What You'll DoOwn technical delivery across federal deployments, from first prototype to stable productionEmbed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI modelsLead technical discovery and solution design for federal prospects and customers, partnering with Account Executives to navigate complex government sales and procurement cyclesPrototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impactEnable successful deployments across customer environments by delivering observable systems spanning infrastructure through applicationsProactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategiesScope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and qualityBuild and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scaleContribute directly to code when clarity or momentum depends on itCodify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can useShare field feedback with Product and Engineering to influence model and product developmentServe as an escalation point for complex technical issues in federal deploymentsAnalyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategyTime Allocation40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support20% — Building reusable solutions, automation, documentation, and reference architectures15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategyYour First 90 DaysFirst 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Participate in sales strategy sessions and provide technical insights on active federal deals.90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.You'll Love This Role If YouThrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressureAre passionate about translating complex technical capabilities into real operational value for government missionsEnjoy embedding deeply with customers, building trust, and becoming their go-to technical partnerFind satisfaction in shipping production systems that make a tangible differenceAre energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environmentsSee yourself as an engineer first who happens to be great with customers, not the other way aroundCan ruthlessly prioritize across multiple projects and operate with high autonomyIt's Important To Us That You HaveActive Top Secret/SCI (TS/SCI) security clearance, or equivalent5+ years of engineering or technical deployment experience, ideally in customer-facing or government environmentsStrong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript, or similarProven ability to scope and deliver complex systems in fast-moving or ambiguous contextsExperience building and deploying production systems in government or similarly constrained environmentsExcellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders, including senior government leadershipTrack record of navigating complex sales or procurement cycles in the federal spaceWillingness to travel up to 50%, including on-site work at government facilitiesIt Would Be Great if You HadExperience with speech recognition, NLP, AI/Voice agents, or related AI technologiesFamiliarity with cloud deployment models (AWS GovCloud, Azure Government, etc.), Kubernetes, Terraform, and related infrastructureExperience building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experienceKnowledge of FedRAMP, FISMA, or other government compliance frameworksExperience with API-first products and developer toolsBackground in sales methodologies such as MEDDIC or Solution Selling, particularly in government contextsExperience developing automation solutions, self-service tools, and technical documentation for customer enablementBenefits & Perks*Holistic healthMedical, dental, vision benefitsAnnual wellness stipendMental health supportLife, STD, LTD Income Insurance PlansWork/life blendUnlimited PTOGenerous paid parental leaveFlexible schedule12 Paid US company holidaysQuarterly personal productivity stipendOne-time stipend for home office upgrades401(k) plan with company matchTax Savings ProgramsContinuous learningLearning / Education stipendParticipation in talks and conferencesEmployee Resource GroupsAI enablement workshops / sessions*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M 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.

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.About the Role:Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the Senior Director of Engineering for Developer Experience, you will own and drive the strategy, execution, and culture of the team responsible for how Crusoe's engineers and non-engineers build, ship, and operate software. Crusoe is looking for a visionary to develop and further build a talented team focused on making every developer at Crusoe faster, more effective, and more empowered through world-class internal tooling, platforms, and AI-powered automation. You'll partner closely with senior engineering and product leadership to define and deliver the foundation that accelerates everything we build.What You'll Be Working On:Developer Platform & Internal Tooling: Define and execute the long-term vision for Crusoe's internal developer platform — including shared services, internal APIs, repositories, and self-service infrastructure — that enables engineering teams to move with speed and confidence.AI Platform: Rapidly develop and productionize software for the entire company. You’ll create and evangelize the golden path to productionizing AI-developed tools, supporting every team at Crusoe. You’ll tip the scales on build-vs-buy for every proposed SaaS purchase.CI/CD & DevOps Infrastructure: Oversee the design, reliability, and continuous improvement of Crusoe's CI/CD pipelines, build systems, and deployment infrastructure, ensuring engineering teams can ship safely and rapidly at scale.Engineering Productivity & Process: Define and drive org-wide engineering productivity initiatives — establishing metrics, identifying bottlenecks, and implementing tooling and process improvements that measurably improve developer experience across the company.People Leadership: Manage and grow a team of talented engineers and establish a high-performance culture rooted in accountability, innovation, and continuous learning.Cross-Functional Partnership: Collaborate with senior leaders across Engineering, Infrastructure, Security, and Product to align Developer Experience investments with company-wide engineering goals and priorities.What You'll Bring to the Team:Proven Leadership: 10+ years of software engineering experience, with at least 4+ years in senior engineering leadership roles.Developer Experience Expertise: Deep, hands-on understanding of what it takes to build great developer experience, such as internal platforms, tooling, CI/CD systems, and developer productivity programs at scale.AI Evangelist: You should be extremely fluent in agentic software development .Technical Depth: Strong engineering fundamentals with the ability to lead engineers on architecture decisions, technology choices, and complex technical trade-offs across platform and infrastructure domains.Strategic Vision with Execution Discipline: Demonstrated ability to define a roadmap for a platform or infrastructure organization and drive it to delivery through structured planning, prioritization, and cross-functional alignment.Data-Driven Approach: Experience establishing and using developer productivity metrics (e.g., DORA metrics, deployment frequency, cycle time) to identify opportunities and demonstrate impact.Communication & Influence: Exceptional communicator who can operate effectively at both the executive level and in the weeds with engineering teams — translating strategy into execution and results into business impact.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300/monthCompensation RangeCompensation will be paid in the range of up to $301,750 - $355,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About Mistral At 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. Role Summary We’re seeking highly motivated Data Quality Specialists with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. In this role, you will contribute to and audit human data annotations, upholding the highest standards of quality and efficiency. Key ResponsibilitiesGenerate and validate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI modelsIn collaboration with the technical team, review/audit annotations, clarify requirements, share insights, and improve annotation processes, tools, and guidelinesAbout you Relevant academic background (science, technology, engineering, mathematics)Professional proficiency in English, with strong writing and comprehension skillsOutstanding research and analytical skillsExercises great judgement with complex instructions, limited data, and/or multiple information sourcesExcellent communication, interpersonal, and organizational abilitiesAdapts easily to dynamic environments and changing requirementsAppetite for operational work and high tolerance for repetitive tasksPassionate about and committed to learning new tools and technologiesNice to have Proven track record working with dataFluency in multiple languagesExperience with code Benefits: 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

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About HandshakeHandshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.Why join Handshake now:Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelWork hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsJoin a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among othersBuild a massive, fast-growing business with billions in revenueAbout the RoleThe Senior Engineering Manager at Handshake AI leads a core product and platform engineering team responsible for building the systems that integrate human expertise into AI development workflows.This team owns critical infrastructure that connects talent networks, data operations, and research needs into scalable, reliable, and high-quality platforms. The role sits at the intersection of engineering, product, and operations, ensuring our systems can support rapid growth, complex workflows, and frontier AI partners. You’ll lead a team of ~9 engineers today and are expected to add leadership capacity (including managing an EM) as we scale.Location: San Francisco, CA. This is an in-office role, 5 days/week (no remote/hybrid)What You’ll DoLead, hire, and develop a high-performing engineering team building core product and platform infrastructureOwn roadmap and execution in close partnership with Product, Research, and OperationsDrive architecture and technical strategy for scalable, reliable, and extensible systemsBuild modular platforms that enable new domains, workflows, and partners to launch quicklyRaise the bar on engineering quality across reliability, observability, performance, and data integrityFoster a culture of ownership, velocity, and strong engineering fundamentals in a fast-moving, ambiguity-heavy environmentWhat We’re Looking ForEngineering leader + builder: 3+ years managing teams, plus 5+ years hands-on engineering experienceStrong people leadership: experience leading senior engineers; managing an EM (or equivalent scope) is a plusExecution in ambiguity: proven ability to align cross-functionally and deliver in fast-moving, unclear problem spacesSystems + product mindset: strong platform/distributed systems background, and the ability to turn research/ops needs into a clear roadmap, ship iteratively, and measure outcomesNice to HaveExperience with RL training infrastructure, simulation systems, or evaluation platformsHuman-in-the-loop systems (annotation, rubric tooling, QA pipelines, workflow platforms)Operations-heavy, tech-enabled environment experienceExperience building systems used by applied ML or AI research teamsPerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together’s API, including high‑performance inference and RL/post‑training engines that can run at production scale. Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the interface of algorithms and systems: asynchronous RL, rollout collection, scheduling, and batching all interact with engine design, creating many knobs to tune across the RL algorithm, training loop, and inference stack. Much of the job is modifying production inference systems—for example, SGLang‑ or vLLM‑style serving stacks and speculative decoding systems such as ATLAS—grounded in a strong understanding of post‑training and inference theory, rather than purely theoretical algorithm design. You’ll work across the stack—from RL algorithms and training engines to kernels and serving systems—to build and improve frontier models via RL pipelines. People on this team are often spiky: some are more RL‑first, some are more systems‑first. Depth in one of these areas plus appetite to collaborate across (and grow toward more full‑stack ownership over time) is ideal. Requirements We don’t expect anyone to check every box below. People on this team typically have deep expertise in one or more areas and enough breadth (or interest) to work effectively across the stack. The closer you are to full‑stack (inference + post‑training/RL + systems), the stronger the fit—but being spiky in one area and eager to grow is absolutely okay. You might be a good fit if you: Have strong expertise in at least one of the following, and are excited to collaborate across (and grow into) the others: Systems‑first profile: Large‑scale inference systems (e.g., SGLang, vLLM, FasterTransformer, TensorRT, custom engines, or similar), GPU performance, distributed serving. RL‑first profile: RL / post‑training for LLMs or large models (e.g., GRPO, RLHF/RLAIF, DPO‑like methods, reward modeling), and using these to train or fine‑tune real models. Model architecture design for Transformers or other large neural nets. Distributed systems / high‑performance computing for ML. Are comfortable working from algorithms to engines: Strong coding ability in Python Experience profiling and optimizing performance across GPU, networking, and memory layers. Able to take a new sampling method, scheduler, or RL update and turn it into a production‑grade implementation in the engine and/or training stack. Have a solid research foundation in your area(s) of depth: Track record of impactful work in ML systems, RL, or large‑scale model training (papers, open‑source projects, or production systems). Can read new RL / post‑training papers, understand their implications on the stack, and design minimal, correct changes in the right layer (training engine vs. inference engine vs. data / API). Operate well as a full‑stack problem solver: You naturally ask: “Where in the stack is this really bottlenecked?” You enjoy collaborating with infra, research, and product teams, and you care about both scientific quality and user‑visible wins. Minimum qualifications 3+ years of experience working on ML systems, large‑scale model training, inference, or adjacent areas (or equivalent experience via research / open source). Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience. Demonstrated experience owning complex technical projects end‑to‑end. If you’re excited about the role and strong in some of these areas, we encourage you to apply even if you don’t meet every single requirement. Responsibilities Advance inference efficiency end‑to‑end Design and prototype algorithms, architectures, and scheduling strategies for low‑latency, high‑throughput inference. Implement and maintain changes in high‑performance inference engines (e.g., SGLang‑ or vLLM‑style systems and Together’s inference stack), including kernel backends, speculative decoding (e.g., ATLAS), quantization, etc. Profile and optimize performance across GPU, networking, and memory layers to improve latency, throughput, and cost. Unify inference with RL / post‑training Design and operate RL and post‑training pipelines (e.g., RLHF, RLAIF, GRPO, DPO‑style methods, reward modeling) where 90+% of the cost is inference, jointly optimizing algorithms and systems. Make RL and post‑training workloads more efficient with inference‑aware training loops—for example, async RL rollouts, speculative decoding, and other techniques that make large‑scale rollout collection and evaluation cheaper. Use these pipelines to train, evaluate, and iterate on frontier models on top of our inference stack. Co‑design algorithms and infrastructure so that objectives, rollout collection, and evaluation are tightly coupled to efficient inference, and quickly identify bottlenecks across the training engine, inference engine, data pipeline, and user‑facing layers. Run ablations and scale‑up experiments to understand trade‑offs between model quality, latency, throughput, and cost, and feed these insights back into model, RL, and system design. Own critical systems at production scale Profile, debug, and optimize inference and post‑training services under real production workloads. Drive roadmap items that require real engine modification—changing kernels, memory layouts, scheduling logic, and APIs as needed. Establish metrics, benchmarks, and experimentation frameworks to validate improvements rigorously. Provide technical leadership (Staff level) Set technical direction for cross‑team efforts at the intersection of inference, RL, and post‑training. Mentor other engineers and researchers on full‑stack ML systems work and performance engineering. 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 competitive benefits. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. 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. Please see our privacy policy at https://www.together.ai/privacy