Research Intern in United States

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

About the Team The Marketing team helps OpenAI bring products, research, and company priorities to the world with clarity, creativity, and impact. We partner across Product, Research, Design, Creative, Communications, Finance, Legal, and Go-to-Market teams to translate complex technology into work that people can understand, trust, and use. Marketing Strategy & Operations builds the operating systems that help this work move with focus and speed. We connect priorities to plans, plans to resourcing, and resourcing to execution, so teams can make better decisions earlier and stay aligned as priorities evolve. About the Role We’re looking for a Strategy & Operations Lead, Hardware Marketing to help build and run the operating system for OpenAI’s Hardware Marketing work. This role will partner closely with Hardware Marketing leadership, Product Marketing, Product, Design, Creative, Production, Communications, Finance, Legal, and external partners to bring structure to a fast-moving, highly cross-functional product area. You will help the team clarify priorities, build plans, manage intake, track decisions, surface risks, frame tradeoffs, and keep critical workstreams moving from planning through operating readiness. This is a strong fit for someone who can operate independently in ambiguity, build practical systems from scratch, and move fluidly between strategy and execution. Experience with complex product launches or sensitive, cross-functional product areas is preferred. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and run the core operating rhythm for Hardware Marketing, including planning cycles, planning reviews, weekly priorities, decision forums, risk tracking, and leadership-ready updates. Partner with Hardware Marketing leadership to translate business and product priorities into clear workstreams, owners, milestones,

NVIDIA's DGX Cloud (DGXC) powers AI for strategic research and product workloads. The company seeks a Senior Technical Program Manager (TPM) to lead complex, cross-functional programs powering NVIDIA’s next-generation AI software platforms. In this role, you will drive software initiatives across platform services, cloud infrastructure, and system integration. The focus is on enabling scalable, reliable, and supportable software for AI workloads. You will be responsible for managing high-impact engineering programs within a dynamic, fast-paced roadmap, aligning priorities across teams, and ensuring timely, high-quality delivery. This role requires strong technical competence, a proactive approach, and the ability to operate effectively across multiple levels of the organization. This is a software-first TPM role. The ideal candidate has extensive experience managing software initiatives. They also understand the full-stack environment, including infrastructure dependencies, system bring-up, integration readiness, and operational needs to support software across stack layers. What You'll Be Doing: Lead end-to-end execution of software platform initiatives, including planning, execution, delivery, and operationalization. Work together with software, infrastructure, product, and operations teams to ensure alignment on goals, deliverables, achievements, and schedules. Lead cross-functional initiatives encompassing cloud-native services, platform software, system integration, and release delivery. Help connect software roadmap execution to full-stack readiness, including dependencies across infrastructure, bring-up, validation, and downstream operational support. Identify cross-functional dependencies, mitigate risks, and drive resolution of complex technical and programmatic issues. Establish clear success metrics and reporting mechanis

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training Performance Engineer, you’ll drive efficiency improvements across our distributed training stack. You’ll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering — analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale. You’ll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Profil

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Post-Doctoral Researcher for our AI Research team. This 24 month fixed-term position is designed for recent PhD graduates looking to deepen their research experience on challenging problems at the frontier of AI — s pecifically, applying machine learning to high-impact real-world domains like medicine, finance, and law. You'll collaborate closely with Snowflake researchers, scientists, and engineers on fundamental and applied problems, publishing high-quality work while helping shape how AI integrates with the world's most consequential industries. AS A POST-DOCTORAL RESEARCHER AT SNOWFLAKE, YOU WILL: Collaborate with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission, with a focus on AI applied to medicine, finance, or law Conduct independent and collaborative research and publish high-quality work at top AI and domain-applied research venues Design and execute large-scale experiments using modern deep learning frameworks, writing high-quality, reusable code Develop models and systems that bridge AI capabilities with real-world application requirements in high-stakes, regulated domains Engage across teams — including with domain experts and applied engineering — to ground research in pra

ROLE SUMMARY The primary purpose of this job role is to function as a member of the Sample Logistics (SL) operations within Pfizer Vaccine Research and Development (VRD). The incumbent will be responsible for receiving samples from global clinical/study trials according to approved protocols and processes. The individual will participate in all aspects of tracking and documenting the chain of custody of samples. The incumbent’s role will include sample receipt, documentation, storage, tracking, aliquoting, distribution to the testing labs, and sample disposal. The colleague will work in a team setting and will share roles and responsibilities as assigned by the team leader/manager. ROLE RESPONSIBILITIES The incumbent will be required to complete all processes as detailed in Sample Management’s Standard Operating Procedures. The colleague will perform job responsibilities in compliance with GXP and all other regulatory agency requirements. The candidate will receive samples from clinical trial sites and enter samples into an electronic database management system. Performs sample storage and retrieval using manual freezers and BiOS (automated freezer storage system). Performs manual sample aliquoting and aliquoting using the Hamilton robotic instrument. <span style="color:#

As a leading biopharmaceutical company, Pfizer is dedicated to the discovery and delivery of high value therapies across a variety of disease areas. It is our mission to bring innovative medicines to patients that significantly improve their lives, and our priority is to ensure patients have access to these medicines. The Health Technology Assessment (HTA), Value & Evidence (HV&E) team is responsible for ensuring patients have affordable, timely access to medicines and vaccines by advancing innovative value and evidence solutions to inform healthcare decision-making. ROLE SUMMARY The HTA, Value & Evidence Senior Manager is responsible for development and execution of high-quality HV&E strategic efforts to support optimal access and reimbursement for treatments in Oncology. This role directly impacts the ability to achieve business objectives on a global basis by providing strategic guidance and robust evidence development relevant to achieve optimal global patient access by demonstrating the value of Oncology medicines. This position will be part of Pfizer’s dynamic HTA Value & Evidence team and will have the important role of managing health economics and outcomes research (HEOR) to generate data to support patient access to the GU Cancer Portfolio. This position will be working closely with the Oncology cross-functional teams (e.g., access, medical, clinical, commercial, etc.) and country teams to foster a culture that promotes innovation and thrives on doing better for Pfizer’s patients and society in general. This position will function in a closely aligned fashion with the Global Access Strategy and Pricing (GASP) team to ensure there is a single and coordinated view on strategy and project execution. This position will function with a ‘OnePfizer’ mindset and will work in a closely ali

ROLE SUMMARY Pfizer is seeking a Senior Manager of Integrated Insights & Strategy (IIS) to serve as a strategic advisor to brand leaders within the Vaccines business. Reporting to the IIS Therapeutic Team Lead, this role is responsible for generating actionable insights that drive commercial performance, inform business decisions, and unlock growth opportunities. As part of the Global Commercial Analytics organization, the Senior Manager will integrate market research, analytics, and commercial performance data to address critical business questions across vaccine brands and franchises. This individual will translate complex information into clear, compelling recommendations and serve as a trusted thought partner to cross-functional stakeholders. The ideal candidate brings strong expertise in analytics and market research, exceptional business acumen, intellectual curiosity, and a demonstrated ability to influence decisions through insight-driven storytelling. KEY RESPONSIBILITIES Strategic Partnership & Commercial Insights Partner with commercial stakeholders to identify, prioritize, and address key business questions. Deliver integrated insights and strategic recommendations that support brand performance and long-term growth. Conduct business assessments, patient journey analyses, and scenario planning to identify risks, opportunities, and performance drivers. Translate complex data into clear, actionable narratives for senior stakeholders. Support development of long-term brand and franchise strategies through evidence-based insights. Market Research & Insight Generation Design and execute research to inform vaccine brand and franchise decisions. Apply qualitative and quantitative methods to address priority business questions. Synthesize research, analytics, field insights, and perfor

Ignite your curiosity. Solve the unsolvable. At Leidos, we do more than write code—we decode the unknown. Our San Diego-based research and engineering team takes on some of the nation’s toughest defense challenges using advanced signal processing, ocean remote sensing, and high-performance computing. We’re seeking a Software Engineer / Computer Scientist who enjoys solving complex problems and pushing the limits of performance. In this role, you’ll work alongside a multidisciplinary team of scientists and engineers with expertise in hydrodynamics, physics, acoustics, and signal processing to build impactful software that turns massive, complex data sets into meaningful insight. If you are motivated by innovation, energized by collaboration, and excited to see your work support real-world missions, this could be the right opportunity for you. What You’ll Do Collaborate with scientists and engineers to design, develop, and optimize advanced algorithms for next-generation radar, optical, and infrared sensor systems. Build scalable, high-performance backend systems for scientific computing in distributed environments. Integrate, refactor, and improve scientific codebases to increase efficiency and scalability. Translate and optimize existing code for GPU/CUDA acceleration and parallel or distributed execution. Test, document, maintain, and enhance complex software in Linux/Unix environments. Contribute in a collaborative environment that values technical excellence, creativity, and continuous growth. Required Qualifications Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related field with 4&#43; years of backend software development experience, or a Master’s degree with 2&#43; years of experience. Equivalent experience may be considered in place of a degree. U.S. citizenship and the ability to obtain a Top Secret clearance; active Top Secret clea

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 As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize mod

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. Some of our publications include: 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 will: 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 responsible use of

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. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. 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: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

OVERVIEW: The Insights product is a new offering for existing Guidepoint clients that offers teleconferences, in-person events and a call transcript library covering a wide of industries/topics that facilitate investment research. All content features experts from Guidepoint’s proprietary global network and is developed by former investment professionals (i.e. private equity/hedge fund) and sell-side equity research analysts. WHAT YOU’LL DO: Monitor a coverage universe of public companies within a sector by tracking earnings releases, investor presentations, SEC filings, sell-side research and industry news. Create and moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for clients. WHAT YOU HAVE: Bachelor’s degree or Master’s degree Minimum 10 years of sell-side or buy-side analyst experience Must follow bottoms-up, fundamental approach to investment research focusing on individual companies Must be current on multiple subsectors within consumer (packaged food, beverage, household & personal goods, apparel manufacturers, speciality retailers, broadlines, softlines, e-commerce, recreational products etc, gaming/lodging in terms of news flow and what issues matter to the buyside at any given time Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire to learn Effective time management and organizational skills Demonstrated ability to work both individually and as part of a team; must be willing to train and mentor junior professionals About Guidepoint Guidepoint powers end-to-end research workflows for the world’s best research teams. Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations

Overview: Guidepoint’s Client Service team connects leading investment firms, consultancies, and corporations with the subject-matter experts they need to make informed business and investment decisions. By understanding each client’s specific research needs and delivering targeted expert matches, often within hours, the team plays a critical role in providing a fast, high-quality client experience. As an Associate on the Client Service team, you will play a central role in delivering that experience. You will learn how to assess client needs, identify the types of experts best suited to address them, and recruit new experts into Guidepoint’s global network of more than 1,750,000 Advisors. The role offers exposure to a dynamic, results-oriented environment where strong judgment, responsiveness, and the ability to execute across multiple priorities are highly valued. Due to the collaborative nature of the Client Service team, the work schedule is hybrid with three days in the office required. Who We Are: High-performing team driven by execution, accountability, and consistent client impact Client-centric culture where responsiveness, resourcefulness, and attention to detail define how we operate Team committed to developing talent through hands-on mentorship, coaching, and leadership support Workplace that embeds continuous learning and career development as a core part of how we grow and excel Environment where strong performers take on increasing leadership, commercial responsibility, and client ownership Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory What You Will Own: Recruit new experts into Guidepoint’s network and engage them for client consultations Independently conduct targeted research across LinkedIn, press releases, company websites, case studies, and other public sources to identify relevant subject-matter experts Lead cold outreach, phone-based vetting, and screening conversations with experts to evalu

Overview: Guidepoint’s Client Service team connects leading investment firms, consultancies, and corporations with the subject-matter experts they need to make informed business and investment decisions. By understanding each client’s specific research needs and delivering targeted expert matches, often within hours, the team plays a critical role in providing a fast, high-quality client experience. As an Associate on the Client Service team, you will play a central role in delivering that experience. You will learn how to assess client needs, identify the types of experts best suited to address them, and recruit new experts into Guidepoint’s global network of more than 1,750,000 Advisors. The role offers exposure to a dynamic, results-oriented environment where strong judgment, responsiveness, and the ability to execute across multiple priorities are highly valued. Due to the collaborative nature of the Client Service team, the work schedule is hybrid with three days in the office required. Who We Are: High-performing team driven by execution, accountability, and consistent client impact Client-centric culture where responsiveness, resourcefulness, and attention to detail define how we operate Team committed to developing talent through hands-on mentorship, coaching, and leadership support Workplace that embeds continuous learning and career development as a core part of how we grow and excel Environment where strong performers take on increasing leadership, commercial responsibility, and client ownership Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory What You Will Own: Recruit new experts into Guidepoint’s network and engage them for client consultations Independently conduct targeted research across LinkedIn, press releases, company websites, case studies, and other public sources to identify relevant subject-matter experts Lead cold outreach, phone-based vetting, and screening conversations with experts to evalu