Artificial Intelligence Research Intern Jobs

About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role This is a founding role. As Singapore’s first Deployment Lead (DL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is

About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Deployment Lead (DL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Tokyo. We use a hybrid work mode

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Deployment Lead Life Sciences, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York. We us

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. We use a hybrid work model of 3 days in the office per w

About the Team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 40%, although mainly local. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role, you will: Lead and grow a team of FDE delivering production systems with frontier models Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices Use judgement to distinguish what requires action and what does not Set a high bar for FDE performance and support each person’s growth through direct, acti

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 SMAI (Smart Manufacturing AI) Global OI (Operations Intelligence) - Scheduling and Simulation Senior Data Scientist at Micron Technology, Inc., you will join Micron's Smart Manufacturing Team to design and implement advanced scheduling, mathematical optimization, and discrete event simulation solutions that drive global innovation and maximize fab performance. Based in Singapore, you will partner with multiple departments and a global network of manufacturing sites to deliver intelligent, autonomous manufacturing solutions. This is an Operations Intelligence (OI) expert role requiring proven hands-on or research experience in factory scheduling, mathematical optimization modeling, and discrete event simulation, together with a growth mindset and a passion for exploring new frontiers. Main Responsibilities Design and develop smart manufacturing and AI solutions in advanced factory scheduling, mathematical optimization, and discrete event simulation that enable industry-leading manufacturing capability. Develop high-quality data analytics and applications that provide actionable insights for management and manufacturing teams. Collaborate across global sites to identify opportunities and deliver holistic solutions that drive continuous improvement

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. We've had several relevant publications, including: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. In this role, you’ll: Develop model policies that guide safe and useful behavior. Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: Bring relevant experience in AI safety, policy, or risk assessment. Have strong judgment and can turn complex safety questions into clear, practical policies. Have the technical fluency to work hands-on with model data and evaluations. Are motivated by OpenAI’s mission and the re

About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent across research, engineering, product, policy, and operations. OpenAI’s Recruiting Operations (RecOps) team provides the systems, workflows, and data foundation that power hiring at OpenAI. Within RecOps, the Systems & Enablement function owns the recruiting technology ecosystem—ensuring our ATS, offer workflows, and connected tools are reliable, well-governed, and user-centric. About the Role We are seeking a Systems & Enablement Lead, Recruiting Operations to lead improvements across recruiting processes, systems, and enablement. You’ll identify recurring friction, define the underlying problem, and carry solutions from an initial test through implementation, adoption, and a repeatable operating process. You’ll partner with Recruiting leaders, People Systems, and hiring teams to translate hiring priorities into scalable processes and programs. You’ll align stakeholders on the most consequential problems, establish shared operating standards, and lead changes that improve recruiting effectiveness. Success means measurable improvements, sustained adoption, and clear ownership that enables teams to operate independently and adapt as hiring needs evolve. In this role, you will: Lead projects from discovery through adoption, managing scope, milestones, dependencies, and risks. Owning enablement for operational workflow changes, including documentation, training, office hours, and change communication. Supporting offer approval and other sensitive recruiting workflows through clear coordination, followthrough, and exception handling. Identifying recurring support themes and driving fixes through process changes, documentation improvements, automation, or handoff to People Systems. Partnering closely with recruiters, coordinators, People Systems, and cross functional stakeholders to improve workf

About the team OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, institutions, and partners shaping the future of AI. The communications team supports this mission by clearly and authentically explaining our technology, products, and approach, helping business leaders, customers, partners, developers, policymakers, and the public understand how AI can be developed and adopted responsibly. About the role We’re looking for a senior B2B Communications Manager for Latam, based in São Paulo, to shape how businesses across the region understand OpenAI’s technology, products, and role in helping organizations adopt AI responsibly. Reporting to the Head of Communications for LATAM, this role will own regional B2B communications strategy and execution, with a focus on helping business decision-makers, industry leaders, customers, partners, and the media understand the value and impact of OpenAI’s technology. You’ll shape how OpenAI communicates about enterprise adoption, customer outcomes, innovation, productivity, and responsible deployment across Latam markets. This is a builder role for someone equally comfortable setting regional strategy, developing compelling business narratives, and helping local teams translate global priorities into communications that resonate in their markets. You’ll partner closely with global Communications, Marketing, Sales, Customer Success, Partnerships, Product, Research, Safety, Legal, and Policy teams to deliver impact on the ground. What you’ll do Set and execute the Latam B2B communications strategy, aligned with regional business priorities, global narratives, and OpenAI’s mission Develop clear, compelling narratives that show how organizations across Latam can use OpenAI’s technology to transform work, improve productivity, build new products and services,

About the Team OpenAI’s B2B Marketing team helps businesses understand, adopt, and get value from our products. We work closely with Product, Research, Sales, and Communications to connect advances in AI to the problems organizations are trying to solve. About the Role We’re looking for a Messaging Lead to shape how businesses understand OpenAI and the value of our portfolio. You’ll develop a clear enterprise narrative, connect individual product stories to it, and help explain how AI is changing the way people and organizations work. You’ll work directly with senior leaders and technical teams to make difficult positioning decisions and turn them into work that customers, executives, and the field can use. You’ll be a hands-on writer and editor as well as a strategic partner, responsible for the quality and coherence of our most important business stories. This is a senior individual contributor role, with the potential to build and lead a team as the function grows. In this role, you will: Define and evolve the enterprise narrative and the messages that connect our products to customer needs and business outcomes. Partner with product and industry marketers to make the portfolio clear and differentiated while preserving the depth each audience needs. Translate complex capabilities into precise, compelling stories with Product and Research. Personally develop core enterprise pitches, executive narratives, major launch messages, and other high-priority materials. Bring customer insight, competitive context, and credible proof into the story with GTM and Customer Marketing. Help Marketing, Communications, and Enablement apply the narrative, and improve it through customer feedback and testing. Coach partners on messaging and writing, and help define how the function should grow. You might thrive in this role if you have: 14+ years of experience in B2B product marketing, positioning, or messaging, with a track record of shaping enterprise narratives and translating co

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. 1. Key Responsibilities: Process Optimization: Establish, monitor, and optimize daily assembly process parameters to ensure stable production lines. Troubleshooting & Failure Analysis: Lead the containment and root-cause analysis of manufacturing defects and process abnormalities. Yield & Quality Improvement: Implement Statistical Process Control (SPC) to reduce process variation, drive yield enhancement, and prevent quality excursions. Documentation: Author and update standard operating procedures (SOPs), failure mode and effects analysis (FMEA), and technical reports. Cross-functional Support: Collaborate with equipment, product, and quality engineering teams to resolve technical bottlenecks. 2. Role Requirement Work Experience: 0 to 2 years of experience in semiconductor manufacturing, packaging, or assembly processes (Fresh graduates with a strong research background in related fields are highly welcome). Work Environment: Ability to work in a cleanroom environment and flexibility to support on-call rotations or shifts when critical production issues arise. Attributes: Strong analytical thinking, proactive problem-solving mindset, and a high degree of self-motivation. 3. Education Degree: Master’s degree (M.S.) is required. Engineering, Electrical Engineering, Physics, or a related STEM discipline. 4. Skills and Experience Core Technical Knowledge: Fundamental understanding of semi

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. 1. Key Responsibilities: Process Optimization: Establish, monitor, and optimize daily assembly process parameters to ensure stable production lines. Troubleshooting & Failure Analysis: Lead the containment and root-cause analysis of manufacturing defects and process abnormalities. Yield & Quality Improvement: Implement Statistical Process Control (SPC) to reduce process variation, drive yield enhancement, and prevent quality excursions. Documentation: Author and update standard operating procedures (SOPs), failure mode and effects analysis (FMEA), and technical reports. Cross-functional Support: Collaborate with equipment, product, and quality engineering teams to resolve technical bottlenecks. 2. Role Requirement Work Experience: 0 to 2 years of experience in semiconductor manufacturing, packaging, or assembly processes (Fresh graduates with a strong research background in related fields are highly welcome). Work Environment: Ability to work in a cleanroom environment and flexibility to support on-call rotations or shifts when critical production issues arise. Attributes: Strong analytical thinking, proactive problem-solving mindset, and a high degree of self-motivation. 3. Education Degree: Master’s degree (M.S.) is required. Engineering, Electrical Engineering, Physics, or a related STEM discipline. 4. Skills and Experience Core Technical Knowledge: Fundamental understanding of semi

About the team The Monetization team is a new cross-functional group spanning engineering, product, research, and design. We are building the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to create user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen trust, expand economic opportunity, and support OpenAI’s long-term innovation. We believe monetization should deliver clear user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem for developers and businesses. The team operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment. We partner closely across Product, Design, and Research to bring new capabilities into real-world systems at global scale. About the role We’re looking for an experienced Software Engineer to lead the design and development of the systems that turn advertiser feeds (eg. retail feeds, travel feeds etc.) into relevant, reliably delivered ads. In this foundational role, you will build across the full ads lifecycle—from ingesting and organizing retailer or travel catalogs into efficient retrieval systems, supporting ranking models, and serving ads at scale. This role is well suited to an engineer with direct experience in product ads retrieval, ranking, and delivery, along with a strong understanding of merchant feeds and shopping systems such as Google Shopping, YouTube product ads, or Amazon. We also welcome engineers with Senior Staff-level or greater scope who have deep ownership of large-scale catalogs, search and indexing, ads serving, or closely related distributed systems. You will independently own complex systems, make sound technical tradeoffs, and help define the architecture and roadmap for Shopping/Travel/Feed Ads. You will collaborate closely with Ads ML, Ads Delivery, Product, Design, and Research to connect accurate, fresh advertiser

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. 1. Key Responsibilities: Process Optimization: Establish, monitor, and optimize daily assembly process parameters to ensure stable production lines. Troubleshooting & Failure Analysis: Lead the containment and root-cause analysis of manufacturing defects and process abnormalities. Yield & Quality Improvement: Implement Statistical Process Control (SPC) to reduce process variation, drive yield enhancement, and prevent quality excursions. Documentation: Author and update standard operating procedures (SOPs), failure mode and effects analysis (FMEA), and technical reports. Cross-functional Support: Collaborate with equipment, product, and quality engineering teams to resolve technical bottlenecks. 2. Role Requirement Work Experience: 0 to 2 years of experience in semiconductor manufacturing, packaging, or assembly processes (Fresh graduates with a strong research background in related fields are highly welcome). Work Environment: Ability to work in a cleanroom environment and flexibility to support on-call rotations or shifts when critical production issues arise. Attributes: Strong analytical thinking, proactive problem-solving mindset, and a high degree of self-motivation. 3. Education Degree: Master’s degree (M.S.) is required. Engineering, Electrical Engineering, Physics, or a related STEM discipline. 4. Skills and Experience Core Technical Knowledge: Fundamental understanding of semi

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. 1. Key Responsibilities: Process Optimization: Establish, monitor, and optimize daily assembly process parameters to ensure stable production lines. Troubleshooting & Failure Analysis: Lead the containment and root-cause analysis of manufacturing defects and process abnormalities. Yield & Quality Improvement: Implement Statistical Process Control (SPC) to reduce process variation, drive yield enhancement, and prevent quality excursions. Documentation: Author and update standard operating procedures (SOPs), failure mode and effects analysis (FMEA), and technical reports. Cross-functional Support: Collaborate with equipment, product, and quality engineering teams to resolve technical bottlenecks. 2. Role Requirement Work Experience: 0 to 2 years of experience in semiconductor manufacturing, packaging, or assembly processes (Fresh graduates with a strong research background in related fields are highly welcome). Work Environment: Ability to work in a cleanroom environment and flexibility to support on-call rotations or shifts when critical production issues arise. Attributes: Strong analytical thinking, proactive problem-solving mindset, and a high degree of self-motivation. 3. Education Degree: Master’s degree (M.S.) is required. Engineering, Electrical Engineering, Physics, or a related STEM discipline. 4. Skills and Experience Core Technical Knowledge: Fundamental understanding of semi