Artificial Intelligence Research Intern Jobs

About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the Role We’re looking for a hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will Lead and manage a team of three senior full-stack engineers. Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. Collaborate with Consumer Learning and model teams to translate education insights into broader ChatGPT behavior and product improvements. Drive execution across product, engineering, research, go-to-market, and partner teams. Help define product strategy, priorities, and delivery plans for a new product pod. You Might Thrive In This Role If You Have several years of direct people-management experience with engineers. Are still highly technical and comfortable doing IC engineering work. Have strong pr

About the Team The Core Models team helps shape how OpenAI’s frontier models are built, measured, and launched. We work across Research, Engineering, Model Design, Data Science, and Product to turn advances in model capabilities into reliable, useful experiences for people. Our scope includes model planning and launches as well as building data flywheels, evaluations and measurement systems to ensure our models have strong capabilities and behavior. About the Role As a Product Manager for the Core Models team, you'll be at the forefront of defining and guiding the future of how our AI models work in real-world applications. You will connect user needs to model and systems decisions: how prompts are understood; how information is aggregated and made useful for training and evaluation data; and how capabilities move from research prototypes into the mainline model and launch stack. You will operate comfortably across research, infrastructure, and consumer product surfaces, creating clarity where ownership and technical boundaries are still emerging. 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. In this role, you will: Translate user and product goals into clear model requirements, system architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation. Build closed learning loops that turn product usage, explicit feedback, and other user signals into datasets, evaluations, experiments, training priorities, and launch decisions. Define success across offline evaluations and online product metrics, balancing model quality, usefulness, latency, safety, reliability, and cost. Partner closely with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the mainline model stack. Create reusable platforms and operatin

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. 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. In this role, you will: Manage key risk areas and corresponding stakeholders. Keep track of a stack of existing and future mitigations for every major product and model deployment. Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. Manage pre-launch safety reviews. Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. Help with publishing and open sourcing safety

About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Full-Stack Software Engineers to design and implement safe services, systems and infrastructure that power our core products. In this role, you will: Architect, build, and improve frontend and backend systems. Work across the full stack to build products and systems from initial exploration through launch readiness. Participate in long-term architectural planning and technical design reviews. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You might thrive in this role if you: Have built and shipped full-stack apps or systems end-to-end — in fast-moving, startup-like environments. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Enjoy building resilient products and services that handle large scale and complexity. Are self-directed and enjoy figuring out the best way to solve a particular problem Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. About OpenAI OpenAI 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 t

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

About the Team Codex is OpenAI’s coding agent, helping developers write, review, and debug software. The broader Codex group combines research, engineering, design, and product to advance what AI agents can do. Codex Enterprise builds the agents and product capabilities that help organizations use Codex in their software development workflows. Unlike individual consumers, people at organizations work in teams, and our scope includes a product experience that works for those teams, building extensibility and discovery primitives, supporting enterprise administration and governance, and the capabilities that help us deploy Codex to organizations at scale. We help turn new agent capabilities into useful products that organizations can trust. About the Role We’re looking for a backend or backend-leaning full-stack engineer who pairs technical depth with strong product taste. You’ll build new products and major capabilities, help determine what shape they should take, and own the work from an ambiguous starting point through launch. Working closely with product managers and Forward Deployed Engineers, you’ll turn emerging needs and deployment insights into scalable product capabilities. The emphasis is on deeply technical product building, independent problem-solving, and thoughtful decisions about both user experience and system design. In this role, you will: Shape new Codex Enterprise products and features, applying product judgment to decide what to build and how it should work. Own projects from exploration through architecture, implementation, launch, and production operations, using feedback to guide ongoing iteration. Build ecosystem capabilities such as plugins, skills, hooks, and discovery experiences, alongside services for enterprise administration, governance, and usage visibility. Design reliable, secure, observable backend systems that support Codex experiences across web, IDEs, CLI, and CI/CD. Partner with product managers and Forward Deployed Engineers t

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build the core monetization and ads systems at OpenAI. This is a foundational role responsible for designing and implementing the infrastructure, APIs, and user-facing experiences that will power OpenAI’s next-generation monetization products—including ads. You’ll work across the full technical stack to architect, build, and ship 0→1 systems that are robust, safe, and scalable. You will collaborate deeply with Product, Design, and Research to define the future of monetized AI experiences and ensure these systems meet OpenAI’s highest standards for safety, privacy, and policy alignment. This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees. In this role, you will: Design, build, and scale the core infrastructure behind OpenAI’s monetization and ads products Develop advertiser-facing APIs and tools that enable the cre

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an NVM QRA Engineer in Global Quality, you are expected to conduct electrical failure analysis and data analysis of 3D NAND memory devices. In order to sustain and improve Micron's memory quality, you will also be responsible for developing and overseeing qualification plans and risk assessment. Responsibilities and Tasks Define NAND qualification plan Facilitate and manage qualification Perform qualification test data analysis, Perform risk assessment at all decision points within qualification cycle. Perform failure analysis on rejects to identify the failure mode and mechanisms that will lead to successful corrective actions and/or preventive actions. Coordinate with Research and Development and Product Engineering teams to comprehend new reliability issues with resolutions and assess their impact to customer risk and reliability. Leverage AI tools to automate reporting, defect classification, or root cause analysis Skills and Experience Excellent problem-solving and analytical skills with strong attention to details. Ability to communicate clearly and concisely both verbally and in writing is critical in this role. Good organization skills and ability to multitask and coordinate between multiple issue at any given time. Ability to work effectively in cross-functional teams and handle pressure situations in a professional manner. Candidates with experience in the semiconductor industry as QA o

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary: As a Systems Support Engineer, you will work in a dynamic, team-oriented environment and help improve genomic analysis tools used in cutting edge research. Working within Illumina’s Systems Engineering and Integration team, you will be responsible for investigating and resolving system-level platform issues and supporting system verification and validation activities for planned platform changes. Responsibilities: Hands-on testing and integration of systems in a laboratory environment: hardware, software, chemistry, and application components Use mechanical, optical, fluidics, electronics, and chemistry knowledge to troubleshoot system-level sequencing instrument issues Collaborate with all functions within development teams (Engineering, Chemistry Development, Consumables, Software, Field Service, Manufacturing, etc.) Provide product support for pre- and post-launch activities Perform testing and troubleshooting to gather data and make technical recommendations Support investigation experiments and design verification test plans Use of Confluence, Ji

About the Team We partner with technical and business leaders to turn advances in AI into useful products and sustainable businesses. Strategic Finance supports complex infrastructure programs by evaluating investment choices, commercial opportunities and operating performance. About the Role We are looking for a hands-on finance professional with direct experience supporting silicon design or semiconductor development programs. You will own financial models, deal analysis, forecasts and operating reviews, working with engineering, research and commercial teams to translate technical milestones and investment needs into clear business decisions. You will partner with the finance leader on priorities, resource allocation and significant decisions. In this role, you will: Own financial models, budgets, forecasts and performance reporting for priority programs, including headcount and investment tracking. Translate silicon development milestones, cost drivers and infrastructure requirements into investment and pricing recommendations. Evaluate customer and partner economics, including engineering support, compute, tooling, licensing and contingent commitments. Build and maintain customer- and program-level revenue, cost of goods sold, gross margin and cash reporting with Engineering, Finance Operations and Accounting. Support deal negotiations and renewals with scenario analysis, proposed terms and clear financial guardrails. Present actionable recommendations, coordinate inputs across teams and escalate material risks or unresolved tradeoffs. You might thrive in this role if you have: Direct finance experience supporting silicon design or semiconductor development, including ownership of development investment, program costs, pricing or commercialization models. Practical understanding of silicon design and validation milestones, PPA, die and manufacturing economics, and the risks that affect program value. Demonstrated ownership of complex financial models, forecasts

About the Team We partner with technical and business leaders to turn advances in AI into useful products and sustainable businesses. Strategic Finance supports complex infrastructure programs by evaluating investment choices, commercial opportunities and operating performance. About the Role We are looking for a hands-on finance professional with direct experience supporting silicon design or semiconductor development programs. You will own financial models, deal analysis, forecasts and operating reviews, working with engineering, research and commercial teams to translate technical milestones and investment needs into clear business decisions. You will partner with the finance leader on priorities, resource allocation and significant decisions. In this role, you will: Own financial models, budgets, forecasts and performance reporting for priority programs, including headcount and investment tracking. Translate silicon development milestones, cost drivers and infrastructure requirements into investment and pricing recommendations. Evaluate customer and partner economics, including engineering support, compute, tooling, licensing and contingent commitments. Build and maintain customer- and program-level revenue, cost of goods sold, gross margin and cash reporting with Engineering, Finance Operations and Accounting. Support deal negotiations and renewals with scenario analysis, proposed terms and clear financial guardrails. Present actionable recommendations, coordinate inputs across teams and escalate material risks or unresolved tradeoffs. You might thrive in this role if you have: Direct finance experience supporting silicon design or semiconductor development, including ownership of development investment, program costs, pricing or commercialization models. Practical understanding of silicon design and validation milestones, PPA, die and manufacturing economics, and the risks that affect program value. Demonstrated ownership of complex financial models, forecasts

About the Team OpenAI’s mission is to build safe artificial general intelligence that benefits all of humanity. Our Go To Market team helps customers understand, adopt, and deploy AI, bringing together Sales, Solutions, Support, Marketing, and Partnerships. Our education work spans higher education, country-level partnerships, and K–12 teachers. We help institutions and students build durable AI capabilities for the future and explore how AI can support teaching, learning, research, and institutional operations. About the Role We are seeking a Head of Global Education GTM to lead our education partnerships & sales, shape GTM strategy, and scale the team for its next stage of growth. You will set priorities across markets and customer segments, lead representatives and regional management, and stay close to complex opportunities and senior customer relationships. This is a strategic, hands-on leadership role at the intersection of partnerships, product, and adoption. You will help the team move customers from experimentation to responsible, sustained use of frontier AI. Seats and meaningful capability building and adoption are the primary goals, alongside disciplined management of the team’s commercial responsibilities. You will lead technical, consultative Account Directors who own the customer journey from territory strategy and pipeline creation through use case identification, evaluation, procurement, deployment, adoption, consumption, value realization, and expansion. Your judgment will help the team connect executive ambition with credible technical and training plans as well as institutional readiness. You are a strategic thinker who is comfortable speaking with leaders on the future of AI in education, and shaping GTM while technology and capabilities are still being built. Education experience is welcome but not required; we are looking for a strategic technology sales leader with strong learning agility, product sense, scrappiness, and mission alignment

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an NVM QRA Engineer in Global Quality, you are expected to conduct electrical failure analysis and data analysis of 3D NAND memory devices. In order to sustain and improve Micron's memory quality, you will also be responsible for developing and overseeing qualification plans and risk assessment. Responsibilities and Tasks Define NAND qualification plan Facilitate and manage qualification Perform qualification test data analysis, Perform risk assessment at all decision points within qualification cycle. Perform failure analysis on rejects to identify the failure mode and mechanisms that will lead to successful corrective actions and/or preventive actions. Coordinate with Research and Development and Product Engineering teams to comprehend new reliability issues with resolutions and assess their impact to customer risk and reliability. Leverage AI tools to automate reporting, defect classification, or root cause analysis Skills and Experience Excellent problem-solving and analytical skills with strong attention to details. Ability to communicate clearly and concisely both verbally and in writing is critical in this role. Good organization skills and ability to multitask and coordinate between multiple issue at any given time. Ability to work effectively in cross-functional teams and handle pressure situations in a professional manner. Candidates with experience in the semiconductor industry as QA o

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Staff Engineer, you will be a part of groundbreaking next generation NAND research & development dry etch team driving critical modules listed below. The position promises ample opportunities for innovation, collaboration and testing a new dimension and scaling with next generation NAND . You will work directly with process integration and other process areas such as Wet etch, CVD, Diffusion, Metals, Lithography & Dry Etch. You will be involved with innovative and outstanding dry etch chambers & own the process roadmap to meet program and yield goals. Your responsibilities include, but not limited to: Main Responsibilities: As a CMP Process Development Engineer, you will develop and optimize chemical mechanical planarization procedures. These procedures aim to improve product quality and reliability for the next generation of Micron's memory parts. Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications Initiate and manage experiments to widen process margins as well as to eva