Research Engineer Intern in United States

About the Team The Corporate Development team sits at the intersection of OpenAI’s strategy and the global AI ecosystem. Partnering closely with research, engineering, product, GTM and business leaders, we analyze markets, technologies, and companies to identify opportunities that accelerate OpenAI’s mission and long-term strategy. Bringing together expertise in strategy, M&A, and integration, the team leads the end-to-end process of sourcing, evaluating, negotiating, and integrating acquisitions and other strategic transactions. About the Role This is a high-visibility, strategically critical, cross-functional role at the intersection of M&A execution, enterprise go-to-market, and operational excellence. You will lead the critical phase from diligence through integration planning and post-close follow-through, define repeatable integration playbooks, and partner directly with senior stakeholders to ensure each transaction delivers intended value. The ideal candidate brings structured, hands-on integration experience, with particular expertise in enterprise / B2B transactions and a passion for AI, including building an AI-native corp dev platform. This role is based in our San Francisco HQ. 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: Lead integration planning and strategic execution for acquisitions from diligence through post-close follow-through, with clear owners, milestones, risks, and decision points. Translate deal rationale into practical integration goals and plans across product, engineering, sales, partnerships, customer success, people, finance, legal, security, systems, and communications. Partner with deal leads during evaluation and diligence to assess integration considerations, including tech stack, talent assessment, GTM alignment, transaction structure, operational readiness, and execution risk. Advise sponsors on how best to bring onboard acquisitions

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. About the Role As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem. Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity. Leverage internal telemetry, OSINT, vendor data, a

About the Team Our infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale. About the Role As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company. You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds. 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: Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling. Develop forecasting and optimization models to support infra planning and resource allocation. Partner with engineering, research, and product teams to shape infrast

About the Team OpenAI's Strategic Sourcing team helps the company scale responsibly, efficiently, and at speed. We partner with leaders across Engineering, Research, IT, Systems, Finance, Legal, and other teams to shape commercial strategies, negotiate critical agreements, and build resilient supplier ecosystems. Our work connects technical strategy, commercial judgment, financial discipline, and execution in support of OpenAI's mission. About the Role OpenAI is seeking a Strategic Technology Negotiations Lead to personally lead some of the company's most complex and consequential technology negotiations. This is not a people manager role. It is a senior strategic IC operator role for an expert negotiator who wants to remain close to the work and personally drive high-impact outcomes. We are especially interested in leaders who have managed teams and are intentionally seeking an individual contributor role where their impact comes through judgment, influence, and direct ownership. Rather than owning a fixed category, you will be deployed against high-priority opportunities where deal complexity, commercial stakes, executive visibility, or time pressure require exceptional negotiation leadership. Your initial focus will include data platforms and infrastructure, including data lake and lakehouse technologies, observability, and enterprise SaaS, with flexibility to work across other strategic technology areas. You will lead negotiations from strategy through execution, aligning decision-makers and driving agreements to closure. Many of these negotiations exist within broader supplier and partner ecosystems. You will look beyond the immediate transaction to account for interconnected cost, equity, revenue, partnership, risk, and long-term strategic implications. Success requires strong economics, sound judgment under pressure, executive credibility, and the ability to bring stakeholders with you through difficult decisions. This role is based in San Francisco, CA. We u

About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI and supporting OpenAI’s growth. If you're passionate about doing significant and unique work, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a Senior Corporate Counsel, M&A, you will support and lead mergers, acquisitions, joint ventures, investments, warrants, infrastructure financings and other corporate transactions through the full lifecycle and provide strategic advice to the business on a broad range of transactional matters. This is a unique opportunity to be directly involved in the forefront of the legal and technology field. This role will work closely with our Corporate Development, Finance, Product & Research, People, and other teams and report to our Deputy General Counsel, M&A, Investments and Strategic Transactions. 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: Lead and support mergers, acquisitions, joint ventures, investments, partnerships and other strategic transactions through the full lifecycle, including opportunity assessment, deal structuring, negotiation, due diligence, and execution Draft, review, and negotiate transaction documents, including definitive agreements, letters of intent, and ancillary documents. Provide strategic advice to the corporate development team, senior management and other internal stakeholders regarding transactions and M&A strategy and deal execution. Work collaboratively with multiple cross-functional teams across the company, including on post-transaction and integration matters. Support the corporate legal team on a broad range of corporate matters, including financings, liquidity events,

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale. Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads. About the Role We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure. In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads. This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs. 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. Key Responsibilities Engage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs. Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware. Translate vendor specifications into expected real-world performance for AI workloads. Evaluate architectural aspects including: compute throughput and utilization memory systems (HBM, cache hierarchies, bandwidth constraints) data types and precision tradeoffs (FP16, BF16, FP8, etc.) interconnect and scaling behavior. Run benchmarks and profiling to validate hardware performance a

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. 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. Key Responsibilities Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. Develop performance models to guide decisions on: scale-up vs. scale-out architectures interconnect and network design memory hierarchy and system balance. Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. Influence reference designs and vendor roadmaps through data-driven insights. Partner closely with machine learning, systems, and hardware teams to understand workload characte

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 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. About the Role The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and safeguard efficacy in production, including driving the strategy for our suite of safety measurement platforms and products used across the company. You will partner closely with our safety research and engineering teams to determine what we measure, where we measure it, and how we measure it, feeding those insights directly into critical leadership decisions and back into our safety work. You will also represent the company's topline safety metric as well as prioritize incoming requests from partner teams to expand our safety measurement platform to more use cases. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Partner closely with data science, research, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence on our platforms. Define strategic priorities and product roadmaps focused on improving safety measurement approaches will scaling our measurement platform to more use cases, products, and cross-functional team needs. Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s safety m

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. About the Team The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat

Job Title: Desk Officer - Spanish Language Enabled Job Summary: Our Beacon program is seeking a highly experienced Desk Officer, with Spanish language skills, to support our mission to counter global threats. The ideal candidate will have a strong background in intelligence analysis, operations, and counterintelligence, with a focus on supporting complex operations. You will be responsible for providing analytical support to operational personnel, managing, and tracking cases, and conducting research and analysis to inform operational decisions. Requirements: Requires possession of a current/active TS/SCI with Polygraph. Candidates who do not possess this clearance will be disqualified. • Education: A bachelor’s degree in any discipline from an accredited college or university, or equivalent work experience. • At least 7 years of direct customer experience focused on intelligence operations and analysis. • Language Proficiency: Spanish 3+ • Certifications: Relevant professional certifications are preferred. Experience: • Experience supporting complex operations or programs. • Experience working in a fast-paced, dynamic environment. • Experience working in a global or regional context. • Experience in multiple areas, such as countering illicit activities, intelligence analysis, or counterterrorism. Skills: • Research and analysis skills, including open-source research and data analysis. • Excellent interpersonal and organizational skills. • Ability to prioritize competing requirements and manage multiple tasks. • Proficiency with standard office software and databases. • Ability to communicate complex ideas clearly, both verbally and in writing. • Ability to adapt to new tools and technologies. Knowledge: • Knowledge of Intelligence Community operations and best practices. • Understanding of relevant laws

Multimedia Design Specialist (Experienced or Lead) Company: The Boeing Company Boeing Global Services (BGS) has an exciting opportunity for a Multimedia Design Specialist (Experienced or Lead) to support Boeing Defense, Space & Security (BDS) Air Dominance\Phantom Works in one of the listed locations (Hazelwood, MO or Daytona Beach, FL). This role leads the management and development of complex technical illustrations, graphics, animations, and interactive media in support of product support teams. The specialist ensures high-quality and compliant visual content by overseeing the research and analysis of source data, guiding standards and processes, and maintaining an accessible illustration library. Additionally, the role involves project oversight and stakeholder engagement to align deliverables with technical and customer requirements. Ideal candidates have a forward-thinking mindset and the ability to evaluate emerging technologies and tools essential to continually enhance visual support products and services. Position Responsibilities: Manages the image approval process for multiple product support teams Leads conceptualizing, creating, designing, and modifying complex detailed illustrations, graphics, full color animations and interactive electronic media Oversees or leads research and analysis of source data or designs to inform illustration and graphics creation and provides recommendations Consults on illustration and graphics development standards, processes, and procedures for support engineering products and services Oversees maintaining and storing illustration and graphics for accessibility Leads ensuring product compliance

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are currently seeking a Quantitative Risk Analysis Manager to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with managing a team responsible for reporting and analytics regarding Collateral offerings as well as Collateral model business user supports. The role requires deep understanding of data and current code base, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for enterprise Collateral models for user acceptance testing and provide feedback. Your Impact: Manage a team of three to four people Complete baseline processes and reports monthly and interpret results as it relates to collateral risk management Follow appropriate controls and standards established to maintain and document for processes & reports. Participate in performing ad-hoc analytics in support of collateral policy Cleanse, manipulate and analyze large datasets using statistical software Collaborate with team members and interact across organizational lines to meet business objectives Qualifications: Degree in

Use Your Power for Purpose At Pfizer, our purpose is to deliver breakthroughs that change patients’ lives. In this role, you will contribute to the discovery and advancement of innovative medicines for patients worldwide by applying rigorous science, modern pharmacology, and cutting-edge technologies. Your work will help transform promising therapeutic ideas into high-quality experimental data that enable confident decisions across the drug discovery process. What You Will Achieve A key strategic focus within the Internal Medicine Research Unit (IMRU) is the discovery of novel therapies for obesity, cardiovascular disease, and related cardiometabolic conditions. As an Associate Scientist in the In Vitro Pharmacology group, you will contribute to early drug discovery programs by generating rigorous, reproducible pharmacology data that support target validation, assay development, compound profiling, and mechanism-of-action studies. This role is well suited for a collaborative, hands-on scientist with experience in cell-based assay execution, mammalian cell culture, quantitative data analysis, and an interest in receptor pharmacology within cardiometabolic drug discovery. How You Will Achieve It Develop, optimize, and execute cell-based signaling, ligand-binding, and other in vitro pharmacology assays to generate high-quality data that support project decisions. Support compound profiling and mechanism-of-action studies through careful experimental design, troubleshooting, and quantitative data analysis. Maintain mammalian cell cultures and prepare fit-for-purpose cellular or membrane-based assay reagents to support screening, binding, and functional assay workflows. Apply core pharmacology concepts, including ligand potency, efficacy and affinity to interpret experimental results. Work collaboratively with pharmacology colleagues and cross-functional pr

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. Illumina is seeking a talented individual to fulfill a Scientist 1 role in next-generation sequencing (NGS) assay research and development. This is a unique opportunity to join a talented team of scientists at the frontier of innovation in spatial transcriptomics. At Illumina you will work in a dynamic, team-oriented environment and help create novel molecular biology assays that support expansion of Illumina’s spatial transcriptomics portfolio Responsibilities Design and execute lab-based experiments using biochemistry and molecular biology skills Troubleshoot and optimize workflows and assays to improve performance Innovate new spatial transcriptomics methods and devise solutions to technical issues Work independently and as part of an interdisciplinary team Effectively communicate experimental results and next steps to team members at regular meetings Maintain detailed records of experimental work and analysis Complete goals within defined timelines Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with th

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Drive risk strategy for company-level strategic initiatives, which includes: partnering with the company’s product, legal, operations, sales, and partnerships teams to solve risk problems and ensure a positive user experience. Perform research and analysis to assess Stripe’s current risk performance and develop and prioritize long-term strategic plans for future growth. Increase business enablement, allowing the types of supportable merchants to safely grow at scale, continuously optimizing for efficiency and effectiveness, and stay hyper focused on a positive user experience. Challenge the status quo and provide multiple alternative solutions and key execution criteria. Execute special projects and provide ad hoc analyses as initiatives, products, risks, and opportunities are constantly evolving. Who you are Minimum requirements Must have a Bachelor's Degree or foreign equivalent degree in Law, Business, Policy, Development Studies, or a related field, plus five (5) years post-bachelors, progressive related work experience as a Risk Strategist or a related occupation. Must also have five (5) years of experience in each of the following: Developing risk strategies and solutions and working with technical products, including working with product and engineering, and operations teams for implementation; Distilling complex, ambiguous risk and policy problems into clear guidance for internal sta