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About the RoleWe are seeking a Tokens-as-a-Service (TaaS) Engineer to help build the systems that convert large-scale infrastructure capacity into measurable, reliable token throughput for OpenAI workloads.In this role, you will work across performance benchmarking, tokenomics, model porting, infrastructure integration, systems tooling, and operational monitoring. You will help connect partner and first-party compute environments into OpenAI’s infrastructure stack, ensuring GPU capacity can be onboarded, measured, monitored, and optimized against real workload outcomes.Key ResponsibilitiesDevelop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments.Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments.Build tooling to integrate external or partner infrastructure into OpenAI’s internal compute, observability, and workload management systems.Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput.Identify bottlenecks across hardware, networking, software, and workload enablement that prevent capacity from becoming productive tokens.Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity.Build dashboards, automation, and reporting systems that provide clear visibility into TaaS capacity, performance, and business outcomes.QualificationsStrong software engineering background with experience building systems, tooling, automation, or infrastructure platforms.Experience working across compute infrastructure, distributed systems, performance engineering, or production operations.Ability to reason about token throughput, utilization, benchmarking, infrastructure efficiency, and workload performance.Comfortable integrating external systems or partner environments into internal infrastructure stacks.Strong analytical and debugging skills across hardware, networking, software, and operational domains.Preferred SkillsExperience with GPU clusters, AI infrastructure, performance benchmarking, or workload optimization.Familiarity with model porting, inference/training workloads, token economics, or compute efficiency analysis.Experience building monitoring systems for billing, usage, SLAs, utilization, or infrastructure reliability.Background in systems engineering, infrastructure software, observability, distributed systems, or platform engineering.About 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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About the TeamThe Alignment Science team at OpenAI studies the science of intent alignment: how to train models to understand what users are actually asking for, act faithfully on that intent while respecting safety constraints, verify what they did, and report their limitations honestly. Our work sits alongside broader value alignment efforts, but this team focuses on scalable methods for ensuring instruction-following, honesty, and robustness as models become more capable.We work on both sides of alignment research: producing externally publishable results and integrating promising techniques into the models OpenAI deploys. Recent team research on model confessions studies how models can be trained to honestly report shortcomings after their original answer, including failures involving hallucination, instruction following, scheming, and reward hacking. That work reflects a broader agenda: build scalable and general methods to ensure models follow human intent. The team uses a mix of training and evaluation methods, with a focus on reinforcement learning. We care about rigorous, quantitative research that can translate into safer model behavior.About the RoleAs a Research Engineer / Research Scientist on the Alignment team, you will design and run experiments that help increasingly capable models follow user intent, remain calibrated about correctness and risk, and honestly surface their own mistakes. You will work on hands-on model training, evaluation design, and research infrastructure, while helping turn promising alignment methods into techniques that can be used in frontier model development.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. We are also open to exceptional remote candidates who can operate independently and collaborate closely with the team.In this role, you will:Design and implement alignment experiments focused on intent following, honesty, calibration, and robustness.Train and evaluate models using reinforcement learning, and other empirical ML methods.Develop evaluations for failure modes such as hallucination, instruction-following failures, reward hacking, covert actions, and scheming.Study methods that encourage models to verify their behavior and report shortcomings honestly, including confession-style training objectives.Build monitoring and inference-time interventions that ensure compliant behavior or surface model issues to users or downstream systems.Investigate how alignment methods scale with model capability, compute, data, context length, action length, and adversarial pressure.Integrate successful techniques into model training and deployment workflows.Produce externally publishable research when results advance the broader science of alignment.Collaborate with researchers and engineers across post-training, RL, evaluations, safety, and product-facing teams.You might thrive in this role if you:Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs.Have excellent engineering skills in Python and modern ML frameworks such as PyTorch.Bring mathematical rigor, quantitative taste, and comfort turning ambiguous research questions into measurable experiments.Have experience with reinforcement learning, post-training, preference optimization, scalable oversight, model evaluation, or adjacent empirical ML research.Can operate with high independence and do not need close day-to-day handholding.Enjoy fast-paced, collaborative research environments where priorities shift as models and evidence change.Have a strong record in technical problem solving, such as competitive programming, math contests, systems work, or similarly rigorous engineering and research projects.Care about building AI systems that are trustworthy, honest, and reliable in high-stakes settings.Are motivated by making concrete progress on alignment methods that can be tested, trained, published, and deployed.About 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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Role overviewSpan is looking to fill a Product Engineer position based primarily in Argentina. Read below for more information.Our VisionWhy do engineering organizations slow down as they get bigger? Building software is fundamentally a context problem that scales poorly. The knowledge needed to build the right thing, in the right way, is fragmented across people and systems. This fragmentation isn’t just frustrating - it fundamentally limits how engineering organizations operate.Span chose to start by solving the context problem for engineering leaders to enhance developer productivity. However, the lack of context that hinders CTOs from fully understanding their organization also impacts developers and, critically, is a major bottleneck for AI agents.We are creating a new type of tool that delivers coherent and useful software engineering context for humans and agents alike, a tool that we believe will enable ownership, autonomy, and superhuman impact inside of an engineering organization.About SpanWe are a Series A stage startup backed by Alt Capital, Craft Ventures, SV Angel, Box Group, and dozens of founders from companies such as Slack, Rippling, and Notion. Customers include leading engineering organizations such as Ramp, Vanta, and Carvana. Today, we primarily compete in the Software Engineering Intelligence Platform vertical but we will increasingly compete with Internal Developer Portals, and AI Powered Devtools. Our entire engineering team can currently be fed with four pizzas.In this role you’ll:We’re looking for someone who can help with these types of example projects:A product that root causes KTLO work and recommends solutions.A software catalog that works for monoliths and that people actually want to use.Help protect engineering focus time by systemically solving sources of distraction or mental load with AI.What we're looking for:Resourceful individuals who thrive in a high agency environment.Have been a founder, seed-stage engineering hire, or have launched your own project before.You have strong product sense and can prove it.Have experience working with LLMs and agentic workflows.About our Stack:TypeScript, NestJS, React, Postgres, RedisAirbyte, Dagster, Python, KafkaAWS, K8S, FluxCDInterview processSilver Screening Interview.Silver Technical Interview.Client Screening Interview.Client Technical Interview.Client Behavioral Interview.

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Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about usProduct (Captions by Mirage) Research (Seeing Voices, technical-white-paper)Updates (Mirage on X / twitter)TechCrunch, Forbes AI 50, Fast Company (press) Our InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) Note to applicants: We review every application carefully. Please apply through the official posting only and refrain from reaching out to employees directly, as it won’t impact your candidacy.About the roleWe’re hiring exceptional new grad engineers to join Mirage across product engineering, backend / platform engineering, and applied AI teams. You’ll have the opportunity to work closely with a small, highly collaborative team that’s building at the frontier of generative media and agentic systems.We prioritize hiring uniquely talented, entrepreneurial, and high-agency engineers first—because engineering at Mirage isn’t narrowly defined. We work across different archetypes, and most of us span more than one, giving you the opportunity to explore and choose your path from the following areas:Backend / Platform EngineeringDesign and build the systems, APIs, and infrastructure that power our productsSolve challenges in distributed systems, scaling, and performanceIntegrate and operate large AI models in productionBuild core platform pieces: storage, billing, observability, securityProduct Engineering (iOS or Web Product)Ship end-to-end product experiences for creative workflowsBuild highly polished, performant user interfaces (web or native mobile)Push the boundaries of video, graphics, and AI-powered creation toolsInstrument, A/B test, and iterate quickly with real user dataApplied AI EngineeringBuild and ship AI-powered product experiences end-to-endWork with state-of-the-art models across video, audio, image, and textDesign systems for context, reasoning, and intelligent behaviorBuild evals, datasets, and tooling for improving model qualityWhat we’re looking forEvidence of exceptional ability: prestigious or highly selective internships, significant personal projects (apps, systems, open source, etc.), startup or founder experience (even in college)Strong computer science fundamentals (algorithms, data-structures, etc.)Degree in Computer Science or a closely related field (top programs preferred)You are deeply interested in AI, and actively use AI coding toolsYou have strong product and engineering taste, and care deeply about craft, speed, and quality.You are grounded, collaborative, and will do whatever it takes to help the team win.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness PerksMultiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEYou would be working on our reinforcement learning team focused on improving reasoning and coding abilities of Large Language Models through reinforcement learning. This is a hands-on role where you’ll work end-to-end from researching new exploration or training algorithms, to designing and scaling up RL environments, to implementing your ideas across the stack. You will have access to thousands of GPUs in this team.YOUR MISSIONBuild and scale the infrastructure that enables reliable, efficient training of Large Language Models with Reinforcement Learning at the frontier.RESPONSIBILITIESKeep up with the latest research, and be familiar with the state of the art in LLMs, RL, and code generationDevelop methods for tuning training and inference end-to-end for high throughputDesign data control systems in an RL pipeline that govern what the model sees and whenDebug cases where infrastructure decisions are silently degrading learning dynamicsBuild observability tooling that surfaces when a system-level issue is the root cause of a training regressionHelp build robust, flexible and scalable RL pipelinesOptimize performance across the stack — networking, memory, compute scheduling, and I/OWrite high-quality, pragmatic codeWork in the team: plan future steps, discuss, and always stay in touchSKILLS & EXPERIENCEExperience with LLMs and model post-training workflowsUnderstanding how Reinforcement Learning works and what its main bottlenecks areSolid software engineering fundamentals (testing, code review, debugging complex systems)Proficiency in Python with knowledge of concurrency, asynchronous programming, multiprocessing and performance optimizationFamiliarity with deep learning frameworks (PyTorch or JAX) and RL workflows (rollouts, replay buffers, policy updates)Experience designing and maintaining distributed RL training systemsExperience with large-scale LLM training infrastructureExperience with profiling tools across the stack (e.g. py-spy)Experience with inference stacks (e.g. vLLM)Nice to have: Open-source contributions to RL or distributed ML projectsPROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with one of our Founding EngineersBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEYou would be working on our reinforcement learning team focused on improving reasoning and coding abilities of Large Language Models through reinforcement learning. This is a hands-on role where you’ll work end-to-end from researching new exploration or training algorithms, to designing and scaling up RL environments, to implementing your ideas across the stack. You will have access to thousands of GPUs in this team.YOUR MISSIONTo push the frontier of reasoning and coding capabilities of foundational models, via Reinforcement Learning.RESPONSIBILITIESResearch and experiment on ways to improve reasoning and code generation for LLMs. Own the full experiment life cycle from idea to experimentation and integrationKeep up with the latest research, and be familiar with the state of the art in LLMs, RL, and code generation. Translate research ideas into clean, reusable codebases that other researchers can build onDesign, analyze, and iterate on data generation and training of LLMsImplement and iterate on RL training pipelines that scale reliably across domainsDiagnose training instabilities and failures, debug RL runs and propose mitigation methodsWrite high-quality, reproducible and maintainable codeSKILLS & EXPERIENCEExperience with Large Language Models (LLM), including:Understanding of the Transformer architecture and scaling lawsMid-training and post-training techniquesExperience training reasoning and/or agentic modelsHands-on use of LLMs, with a sense of their capabilities and limitationsReinforcement Learning experienceSolid grasp of Reinforcement Learning concepts and familiarity with modern algorithmsExperience developing distributed, large-scale RL pipelines from data creation to evaluationsResearch experienceScientific publications in any of the following topics: Reinforcement Learning, LLMs and reasoning modelsAbility to discuss the latest research with sufficient level of detailIs reasonably opinionatedEngineering skillsStrong machine learning, algorithm skills and engineering backgroundExperience with distributed trainingExcellent programming skills in PythonFamiliarity with a deep learning framework (Pytorch or JAX)PROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with one of our Founding EngineersBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is seeking an Physical Design Engineer to lead  cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities.  This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who you are BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.   What we need Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes. Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly. Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR. Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.   What you will learn How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows. New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits. Best practices for deploying, validating, and monitoring ML models in production CAD environments. How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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About The RoleTaktile is redefining how financial institutions use AI to make critical decisions, and we're growing fast. As an Applied AI Engineer, you'll be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space.If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here.What You'll Do as an Sr. Applied AI EngineerBuild Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers.Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges.Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself.Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features.About YouYou bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership.You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics.You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection.You write clean, maintainable Python and SQL, and have a good understanding of REST APIs.You excel at breaking down complex problems and abstracting them into scalable, reusable solutions.You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale.You are open to a hybrid work model and can work from our NYC office at least three days per week.Ideal Qualifications (but not required)You have experience in building AI applications within financial services.You have experience in applying and optimizing statistical and machine learning models to solve business problems.You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).What We OfferWork with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.Make an impact and meaningfully shape an early-stage company.Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation package.Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Use the equipment of your choice including meaningful home office set-up.Our StanceWe're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.About UsTaktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions — like who to onboard, how to underwrite, or when to flag suspicious activity — with full visibility and control.By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision-making in real time as markets, customer behavior, and risks evolve.Our mission is to build the world’s leading platform for automated decision-making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry.We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast-growing startups and enterprise leaders.Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - we’re building a world-class organization across all functions and levels to power the next generation of AI-driven decision-making in financial services.

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About The RoleTaktile is redefining how financial institutions use AI to make critical decisions, and we're growing fast. As an Applied AI Engineer, you'll be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space.If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here.What You'll Do as an Sr. Applied AI EngineerBuild Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers.Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges.Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself.Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features.About YouYou bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership.You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics.You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection.You write clean, maintainable Python and SQL, and have a good understanding of REST APIs.You excel at breaking down complex problems and abstracting them into scalable, reusable solutions.You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale.You are open to a hybrid work model and can work from our NYC office at least three days per week.Ideal Qualifications (but not required)You have experience in building AI applications within financial services.You have experience in applying and optimizing statistical and machine learning models to solve business problems.You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).What We OfferWork with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.Make an impact and meaningfully shape an early-stage company.Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation package.Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Use the equipment of your choice including meaningful home office set-up.Our StanceWe're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.About UsTaktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions — like who to onboard, how to underwrite, or when to flag suspicious activity — with full visibility and control.By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision-making in real time as markets, customer behavior, and risks evolve.Our mission is to build the world’s leading platform for automated decision-making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry.We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast-growing startups and enterprise leaders.Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - we’re building a world-class organization across all functions and levels to power the next generation of AI-driven decision-making in financial services.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About The TeamThe team works on research and systems that advance frontier models. Our work often goes beyond standard training recipes, which means we also build the infrastructure needed to make new training approaches practical at scale. This is a team where systems work is directly tied to research progress: better tools, abstractions, and runtimes can unlock experiments that would otherwise be too slow, brittle, or difficult to express.About The RoleThis is a systems engineering role focused on ML training infrastructure. You will work on the systems layer that turns novel research ideas into runnable, measurable training workloads for large models. The work can sit on the critical path for model releases, bringing both the excitement of direct impact and the responsibility of building systems that remain reliable under real pressure.In This Role, You WillBuild and maintain infrastructure for large-scale model training and experimentation.Design APIs and interfaces that make complex training workflows easier to express and harder to misuse.Improve reliability, debuggability, and performance across training and data pipelines.Debug issues spanning Python, PyTorch, distributed systems, GPUs, networking, and storage.Write tests, benchmarks, and diagnostics that catch meaningful regressions.You Might Thrive In This Role If YouYou want to build systems that enable new model training approaches, not just optimize established ones.You have strong systems instincts and care deeply about performance, reliability, and clean abstractions.You have good taste in API and interface design, with empathy for the researchers and engineers using your tools.You are comfortable working across ML research code and production-quality infrastructure.You enjoy debugging from evidence: profiles, traces, logs, tests, and minimal reproductions.About 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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About the TeamThe Cooperative AI team is scaling OpenAI with OpenAI.We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work.We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds.We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the RoleWe are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI.This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work.You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time.This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational work at scale.What You’ll DoLead and grow a small team building applied AI systems for internal operationsDesign and build AI-powered automation systems in close proximity to customersStay hands-on in architecture and implementation across the full stackDevelop evolving systems spanning developer tools, automation platforms, knowledge graphs, and data systemsDeploy systems directly to internal users and close customers to iterate rapidly based on real-world feedbackEngage frequently with scaled workforces to understand needs and validate solutionsCreate systems for visibility and learning in hybrid workforcesPartner with product, research, and ops teams dailyYou Might Thrive in This Role If YouHave 12+ years of experience in engineering, including 3+ years of experience in engineering management, and at least 7 years as an IC engineerAre a hands-on builder who enjoys operating across the stackHave deep experience applying AI, and are ready to experiment with frontier approachesBring strong technical judgment across systems design, infrastructure, and full-stack developmentHave built developer tools, internal platforms, or workflow automation systemsEnjoy frequent interaction with customers and thrive in feedback-driven development loopsAre comfortable with ambiguity and excited to operate in a rapidly evolving spaceHave experience in operationally complex environments (e.g., logistics, support systems, internal tooling, warehouse automation, etc.)About 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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About the TeamWe build and scale the Compute foundation that powers frontier AI research and products. Our team delivers reliable, efficient, and cost-effective GPU/CPU capacity across world-scale supercomputing systems, enabling researchers and product teams to move quickly. We operate one of the largest GPU fleets in the world, rapidly bringing new infrastructure online across a wide range of providers, hardware types, and generations while integrating it into a single seamless platform at massive scale. We focus on building an intuitive, low-friction system that helps teams experiment faster, innovate faster, and train some of the world’s largest and most advanced models.About the RoleWe’re looking for engineers to help build and operate the next generation of compute infrastructure powering OpenAI’s frontier research. This is an opportunity to work on the large-scale clusters, high-performance networks, and supercomputing systems that enable some of the most advanced AI workloads in the world.In this role, you’ll combine distributed systems engineering with hands-on infrastructure work across some of our largest data centers. You’ll help scale Kubernetes clusters to massive scale, automate bare-metal bring-up, and build the software layers that make heterogeneous GPU fleets and multi-datacenter supercomputing environments easier to operate.You’ll work where hardware and software meet, in an environment where speed, efficiency, and reliability are critical. That means solving real-time operational challenges, quickly diagnosing and fixing issues when they arise, and continuously improving automation, resilience, performance, and uptime across the systems that power frontier model training.In this role, you will:Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle managementBuild software abstractions that unify multiple clusters and present a seamless interface to training workloadsOwn node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scaleImprove operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cyclesIntegrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructureDevelop monitoring and observability systems to detect issues early and keep clusters stable under extreme loadYou might thrive in this role if you:Have experience operating large-scale compute fleets and enjoy bringing diverse hardware across providers, generations, and environments into one reliable platformCare deeply about infrastructure efficiency and know how to maximize utilization so every GPU and CPU delivers meaningful workBring a strong bias for operational excellence, balancing speed with long-term quality and building systems that improve consistently over timeFocus on solving root causes rather than symptoms, and build trust by eliminating recurring pain points for usersHave experience improving training performance, reducing bottlenecks, and helping workloads run faster and more cost-effectively at scaleEnjoy pushing the limits of scale, from increasing concurrent workloads to enabling larger and more ambitious single-cluster jobsBuild intuitive platforms and tooling that empower researchers, product teams, and operators to self-serve with minimal manual supportAre comfortable working in fast-moving environments where ownership, reliability, and continuous improvement are essentialQualificationsExperience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environmentsStrong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloadsProficiency in compute infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operationsBonus: background with GPU workloads, firmware management, or high-performance computingAbout 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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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.Representative ProjectsContext Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.What You’ll DoDesign and build abstractions and platform-level systems that improve all of Harvey’s agentic products.Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.What You Have8+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams.Experience building and shipping multi-model or multi-provider AI systems in production.Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.Compensation Range$231,000 - $340,000Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-AK1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.Representative ProjectsContext Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.What You’ll DoDesign and build abstractions and platform-level systems that improve all of Harvey’s agentic products.Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.What You Have8+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams.Experience building and shipping multi-model or multi-provider AI systems in production.Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.Compensation Range$231,000 - $340,000Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-AK1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the Team Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches. About the Role In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs. In this role, you will:Build and refine performance models that translate microbenchmark results into cost-to-serve estimates.Analyze inference workloads end to end across applications, models, and fleet infrastructure.Enhance tooling to identify bottlenecks across layers for latency and throughput.Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference. You might thrive in this role if you:Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency.Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling.Have deep expertise with performance profiling, benchmarking, analysis, and optimization.Enjoy collaborating with engineering and research teams to improve real production systems.About 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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Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Robotics Application Engineer specializing in Intelligent Manufacturing Automation, you will closely collaborate with our automation group and industry partners to advance manufacturing automation by extending our capabilities and solutions. Your daily responsibilities will include integrating and developing robotics solutions, including processes, software features and integrating state-of-the-art AI for manufacturing automation. You will be working with the team leading the deployment of impactful robotic systems in production. How your work moves the mission forward Contribute to the technical development and integration of advanced robotic automation solutions for manufacturing automation, utilizing the Intrinsic platform, ROS and state-of-the-art AI capabilities. Collaborate closely with our research and industry partners to successfully integrate AI and automation capabilities into factory settings. Document designs, processes, and results, communicating effectively with internal technical teams and our partners. Skills you will need to be successful Bachelor’s degree or equivalent practical background in Robotics Engineering, Software Engineering, or a related technical field. Foundational understanding of industrial robotics, motion control, and machine vision, with a strong desire to learn and contribute to their application in manufacturing environments. Programming proficiency with C++ and/or Python. Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners during deployment and support. Skills that will differentiate your candidacy Foundational understanding of AI concepts for perception, robotics and automation, with a strong desire to learn and contribute to their application in manufacturing environments. Experience with ROS 2 and its major frameworks. Experience with technologies such as Kubernetes, gRPC, Protobuf, Bazel, microservice architectures, and/or real-time systems. In addition to the salary range below, this full-time position is eligible for bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.Salary Range$132,000—$187,000 USDAt Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact. We work with high ownership and trust, and we do it together in the office 5 days/week.About the RoleSome domains already have standard ML playbooks. RF is not one of them.Distributed Spectrum is building AI-enabled sensing systems for the radio domain, and we are hiring a Machine Learning Researcher, Specialist to bring modern ML to a problem space where representation, structure, physics, runtime constraints, and deployment realities all matter at once.This role is designed for a strong generalist researcher who wants genuinely open technical terrain. You will work on problems where signal structure, propagation effects, interference, sparse visibility, and edge deployment constraints all shape what "good" looks like. The job is not just to improve accuracy. It is to formulate the right problem, find the right modeling approach, and get that capability into systems that are used in the field.You will work across the lifecycle of research and deployment: data and evaluation design, experimentation, model development, release readiness, and iteration based on real-world outcomes. You will collaborate closely with embedded, hardware, and mission teammates, and your work will directly influence how Distributed Spectrum builds machine learning capability as the company scales.What You'll DoFormulate new ML problems in RF sensing and spectrum understandingDesign experiments and evaluation approaches that reflect real operating conditions including domain shift, changing interference, and varying sensors and platformsBuild models for structured, noisy, and partially observed signal environmentsImprove robustness across propagation, interference, and low-visibility waveform conditionsOptimize models for throughput, latency, and deployment constraintsMove promising research into a release path for real systems through proofs-of-concept, realistic validation, and conversion into maintainable, deployable codeUse field performance to inform the next generation of models and toolingWhat We're Looking ForDeep mathematical and modeling fundamentalsStrong hands-on experience with modern ML frameworks and experimental practiceAbility to work in domains where problem formulation is as important as implementationStrong instincts for signal-rich, structured, non-generic dataComfort operating with ambiguity and changing requirementsClear technical communication and cross-functional collaborationNice-To HavesBackground in RF or signal-centric ML (spectrum sensing, modulation recognition, or related work) is welcome but not required; we are equally interested in researchers from adjacent domains who have demonstrated strong reasoning on hard signal or sensing problemsExperience building for constrained inference (quantization, kernel-level optimizations, or similar)Evidence of research impact: publications, open-source implementations, or prior work building new architectures that shippedWho Thrives at Distributed Spectrum Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.What We Offer Above-market salary, equity, and benefits package. Early Series A EquityExcellent health, dental, and vision coverage401(k) match - up to 4% of your salaryFlexible PTODaily office lunches in NYCITAR Requirements To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.