Research Science Intern in United States

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday. About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale. Taskrabbit's greatest growth opportunity lies in deepening customer relationships and accelerating repeat purchases. Our most valuable customers are those who return frequently, discover new service categories, and increase their spending over time. There's significant untapped potential in the marketplace: repeat customers spend 3-5x more than one-time users, and category expan

About the Team OpenAI's Industrial Compute organization builds and operates the infrastructure required to train and serve frontier AI models. The Capacity Planning team connects rapidly changing research and product demand with the compute, networking, storage, power, data center, hardware, and operational resources required to make that demand executable. About the Role We are seeking a Technical Program Manager to build and lead capacity planning across OpenAI's large-scale AI infrastructure. You will translate uncertain workload demand into clear infrastructure requirements, allocation decisions, supply commitments, activation priorities, and long-range capacity strategies. This role sits at the intersection of research, engineering, infrastructure, finance, sourcing, deployment, and operations. You will create the planning models, operating cadences, governance mechanisms, and source-of-truth systems that allow teams to understand what capacity is required, what is available, what is at risk, and what decisions must be made. This is not a finance-only forecasting or reporting role. Success requires technical fluency across the infrastructure stack, strong analytical judgment, and the ability to move consequential decisions forward when requirements, timelines, and supply conditions change quickly. Key Responsibilities Own capacity-planning processes across near-term workload allocation, quarterly execution, and longer-range infrastructure horizons. Translate research, training, inference, and product demand into compute, accelerator, cluster, networking, storage, rack, power, and site requirements. Develop scenarios that make assumptions, confidence levels, constraints, sensitivities, and decision points explicit. Reconcile requested demand against contracted, delivered, installed, activated, and workload-usable capacity. Partner with research and engineering teams to understand workload priorities, technical dependencies, utilization patterns, and changing req

About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: Build and ship high-quality, product experiments across the full stack. Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. Operat

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team builds next-generation AI-native silicon and systems while working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. In addition to delivering systems for OpenAI’s supercomputing infrastructure, the team develops the tools, methodologies, and strategic partnerships needed to accelerate hardware innovation. About the Role We’re seeking an experienced Hardware Strategic Sourcing Manager to own sourcing strategy and supplier partnerships for fiber and optical interconnect components across OpenAI’s next-generation AI infrastructure. Reporting to the Head of Partnerships & Strategic Sourcing, you will lead sourcing across fiber cable assemblies, internal optical harnesses, fiber shuffles, optical backplane assemblies, connectorized and standalone passive optical assemblies, fiber-array units (FAUs), fiber-to-chip and coupling interfaces, detachable connectors, optical routing, and assigned optical packaging, assembly, and test services. You will work closely with electrical engineering, optical engineering, systems engineering, mechanical and packaging engineering, quality, rack integration, data-center deployment,manufacturing, supply chain, finance, legal, and program management teams to translate demanding bandwidth, signal integrity, reliability, and scale requirements into resilient supplier partnerships and scalable commercial strategies. Your work will directly support the performance, reliability, manufacturability, and scale of the high-speed optical connectivity required for OpenAI’s next-generation AI systems. In this role, you will: Develop and execute a comprehensive sourcing strategy for fiber and optical interconnect components supporting high-bandwidth AI systems and infrastructure. Own sourcing across optical fiber cable assembli

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Codex team plays a key role in this by changing how software gets built and who can build it. The team is a fast-moving group within OpenAI that works across research, engineering, product, and design to build an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Design plays a critical role here. To succeed in our mission, it’s crucial that we make coding agents intuitive and accessible. We’re hiring a product designer to create products that are easy to use, beautiful, and push the boundaries of what’s possible. As an early team member, you’ll have a huge part in shaping our product direction and design culture. About the Role As a product designer on Codex, you’ll collaborate closely with a small team of product designers and cross-functional partners to shape the future of coding. You’ll partner closely with world-class engineers and researchers to bring cutting-edge capabilities into the hands of developers. Much of the work is 0–1, requiring you to balance a high-bar for craft, fast iteration, and strong product intuition. You’ll work on the end-to-end design of new features and improvements across a range of Codex products. You’ll help chart our course into the future as we evolve our technology, product, and design paradigms. 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: Contribute to the overall design and product direction of OpenAI products. Design and ship high-quality products and improvements, from early concepts to high-fidelity prototypes and visuals. Partner closely with engineering, product management, research, and design peers to define both long-term strategy and short-term tactics. Engage in user research to better understand our users (sof

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world-class scientists, engineers, and business leaders to translate frontier research into real-world impact. Within OpenAI, the Go-to-Market organization helps customers understand, adopt, and scale our products across their businesses. The team includes Sales, Solutions, Support, Marketing, Partnerships, and Strategic Pursuits professionals who work together to bring the benefits of AI to organizations globally. About the Role At OpenAI, we're building toward an agent-first world where AI systems reason, act, transact, and create alongside people and businesses. As agents become a primary interface for work, the Strategic Pursuits Team leads our most complex enterprise opportunities and helps define how customers adopt OpenAI at scale. We're seeking a Strategic Pursuits Lead to shape and close high-impact enterprise opportunities across Frontier, AI Solutions, ChatGPT, Codex, API, and emerging offerings. This person partners with customers, account teams, Product, FDE, Legal, Finance, GTM, and executives to turn ambiguous demand into a clear vision, business case, commercial structure, delivery path, and repeatable GTM motion. This is a builder role for someone who thrives in ambiguity, can operate without a playbook, and is energized by creating the playbook while running the pursuit. The right person brings executive presence, commercial judgment, product intuition, and the ability to make messy work executable. This role can be based in our San Francisco or Seattle offices. We are also considering applications to work remotely from within the U.S. 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 strategic pursuits from early qualification through customer alignment, proposal, commercial structure, and transition in

About the Team Enterprise Marketing helps the world’s largest organizations understand, adopt, and scale AI. Our Executive Engagement programs bring OpenAI’s products, research, and perspective into the room with senior leaders as they consider how intelligence can be put to work against their most important priorities. These engagements are more than briefings or events. At their best, they help a leadership team understand what is changing, distinguish what is possible now from what is still emerging, and leave with greater clarity about what to do next. About the Role We are looking for an Executive Programs Lead, Americas to build and lead the portfolio through which OpenAI engages its most important customers and executives across the region. You will own the regional strategy, team, and quality bar for Executive Briefings and a broader portfolio of C-suite engagements, recurring executive forums, advisory programs, and proven formats ready to scale. Your mandate is to turn high-stakes customer moments into a durable business capability, one that consistently advances important relationships while preserving the judgment and customization that exceptional executive experiences require. This is a senior people-leadership role for a builder who can set direction, make disciplined portfolio choices, and create the systems and team required to deliver at scale. You will partner closely with Sales, Product Marketing, Product, Research, Solutions, Customer Success, Events, and OpenAI executives, moving comfortably between long-term design and the critical details of a live engagement. This role is based in San Francisco. We use a hybrid model of three days in the office each week and offer relocation assistance. Given the customer-facing nature of the role, regular in-person participation in executive briefings and related preparation is expected and may require additional time onsite. Travel across the Americas and occasional global travel are also expected. In this

About the Team Enterprise Marketing helps the world’s largest organizations understand, adopt, and scale AI. We create programs that bring OpenAI’s products, research, and perspective closer to the priorities, decisions, and work of enterprise customers. Some of the most consequential opportunities cannot be served by adapting an existing campaign, event, or playbook. They require a new model: a way for customers to experience what is possible, learn by doing, and turn insight into action. Our team builds and scales those models across markets. About the Role We are looking for a senior program builder to create differentiated executive and enterprise experiences. You will shape the experience thesis, build and test the first version, and help determine whether the work should become part of a broader repeatable program, remain bespoke, or stop. This role focuses on incubation: developing new experiences, strengthening consequential customer moments, and creating the principles and materials needed for durable ownership. Your initial focus will be helping bring a new flagship, hands-on enterprise customer experience to life in San Francisco, developing new executive and practitioner formats around it, and supporting selected strategic-account interventions where a differentiated approach is needed. This is a senior, hands-on individual-contributor role for a builder who combines customer and commercial judgment with original program design and excellent execution. You will work across Sales, Product Marketing, Product, Research, Solutions, Design, Events, Operations, regional marketing, and executive teams. You will be expected to make clear choices, build directly, and stay close to the work until the model is proven and ready for durable ownership. This role is based in San Francisco. We use a hybrid model of three days in the office each week and offer relocation assistance. Given the nature of the work, periods of more intensive onsite participation are expected

About the Team Enterprise Marketing helps the world’s largest organizations understand, adopt, and scale AI. Our Executive Engagement programs bring OpenAI’s products, research, and perspective into the room with senior leaders as they consider how intelligence can be put to work against their most important priorities. These engagements are more than briefings or events. At their best, they help a leadership team understand what is changing, distinguish what is possible now from what is still emerging, and leave with greater clarity about what to do next. About the Role We are looking for a senior product marketer to shape how OpenAI’s products, research, and point of view come together in our most important executive customer conversations. You will shape the product-marketing strategy and narrative for these engagements, bringing together customer priorities, product truth, market context, and evidence to clarify what matters and help senior leaders understand what AI makes possible for their organizations. You will personally shape our highest-priority engagements while building narrative frameworks, proof, and resources that raise the quality of executive conversations across the enterprise business. This is a senior, hands-on individual-contributor role for an exceptional enterprise product marketer who wants their judgment and craft to remain close to the work. You will partner closely with Product Marketing, Sales, Product, Research, Solutions, and OpenAI executives. You will help determine not only how we communicate our work, but which ideas matter, what evidence makes them credible, and how customer insight should improve what we do next. This role is based in San Francisco. We use a hybrid model of three days in the office each week and offer relocation assistance. Given the customer-facing nature of the role, regular in-person participation in executive briefings and related preparation is expected and may require additional time onsite. In this role, y

Human Factors Engineer Description - This role is responsible for shaping the usability and overall user experience of physical products or systems. The role requires a strong blend of human factors expertise, research rigor, and user empathy. The role collaborates closely with cross-functional teams, including designers, product managers, engineers, and stakeholders, to create user-centered design solutions that meet both user needs and business objectives. The role conducts thorough user research to uncover insights, behaviors, and pain points, translating findings into actionable design solutions. Responsibilities Plans, designs, and conducts usability studies and human factors evaluations across multiple stages of product development. Executes formative and summative usability testing, including protocol development, participant recruitment, data collection, and analysis. Leads human factors validation activities in alignment with relevant standards. Applies quantitative and qualitative research methods to generate actionable insights. Analyzes research data and translates findings into clear, practical design recommendations. Prepares and delivers research reports and presentations for cross-functional stakeholders. Collaborates with industrial designers, engineers, and product managers to integrate user insights into product development. Benchmarks product usability and experience against key competitors. Identifies and surfaces usability risks early in development to reduce downstream cost and rework. Supports continuous improvement of research processes, tools, and best practices. Education & Experience Recommended Four-year or Graduate Degree in Design, Human Fac

You can have a positive impact on the scientific community! The Behavioral Health and Readiness division of the Leidos Health & Services Sector is seeking a Biomedical Life Scientist to provide scientific and meeting support to the Congressionally Directed Medical Research Programs (CDMRP) in Frederick, Maryland. This is NOT a laboratory research position. This is a hybrid position, requiring a minimum of 3 days/week in person at the Frederick, Maryland office. Some local travel within the Washington DC/Baltimore area is required. The CDMRP is a leading funder of research projects across a broad range of medical fields and military health. The Leidos Biomedical Life Scientist will work across a diverse variety of research programs in support of the CDMRP’s goal to transform healthcare through innovative and impactful research. Why Leidos? Leidos Life promotes excellent work-life balance. You can make an impact and have time for your well-being. This position is eligible for partial remote work and a flexible work schedule. Leidos offers many opportunities for career development and advancement. The successful candidate will be part of a large, dynamic workforce with a broad range of scientific expertise. Learn more at https://www.leidos.com/employees/life . What you will do: Plan and execute a variety of scientific meetings. Recruit scientists, clinicians, and consumer advocates to participate in scientific meetings. Develop and track schedules for tasks and deliverables. Provide scientific notetaking support by recording critical information from scientific meetings and writing comprehensive meet

About the Team Platform Partnerships builds and grows the relationships that extend OpenAI products through the world’s most important technology platforms. The team works across Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations to turn partner opportunities into durable product experiences and business outcomes. We’re hiring a Partner Manager, Monetization to help build, scale, and manage a portfolio of strategic platform and monetization partnerships. You will drive day-to-day strategy and execution, help shape joint roadmaps and commercial opportunities, and translate shared ambition into measurable adoption, usage, revenue, distribution, and product impact. This is a hands-on individual-contributor role for a skilled generalist who can move between partnership strategy and detailed execution. You will own day-to-day execution across priority relationships, collaborate with senior partnership leads and cross-functional teams, create structure where playbooks are still emerging, make sound decisions with incomplete information, and step into the product, commercial, and operating details required to move work forward. In this role, you will: Drive day-to-day partnership strategy and execution across priority partners, working closely with Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations to align roadmaps and deliver outcomes. Own a portfolio of strategic partnerships as businesses: set direction, prioritize opportunities, and drive outcomes aligned with OpenAI’s product and company goals. Contribute to multi-year expansion strategies and joint plans that connect product roadmaps, commercial opportunities, go-to-market motions, and measurable outcomes. Support complex deal execution and commercial negotiations from partner evaluation through product integration, launch, expansion, and renewal. Operate as a cross-functional driver, aligning internal teams and external partne

About the Team The Integrated Marketing team sits at the center of product, brand, creative, media, research, and GTM work. We partner closely with PMM, Product, Developer Relations, Design, Comms, and agency teams to shape launches and campaigns that are clear, distinctive, and grounded in real audience insight. This is a growing function, so the team needs people who can both raise the quality of the work and build the operating model around it: bringing strong judgment, high agency, and trusted partnership to complex, visible moments. About the Role Developers and founders are building some of the most interesting things happening in AI. They’re starting companies, creating new products, and changing how people work. We’re looking for an integrated marketing manager who understands this audience and can shape how OpenAI shows up for developers, founders, startups, and engineering teams. That includes supporting campaigns around new products, creating meaningful developer experiences, and finding compelling ways to highlight the people and companies building with our technology. You’ll partner across Product, Product Marketing, Developer Relations, Research, Brand, and Creative, along with external agencies and partners, to develop strategies and bring strong ideas to market. The right person understands technology, has good creative judgment, and knows how to turn audience insight into work that feels useful, credible, and worth paying attention to. This is a hybrid role based in San Francisco, with three days a week in the office. In this role, you will: Support marketing strategies for developers, founders, startups, and engineering teams building with OpenAI, based on how technical audiences discover tools, evaluate them, and decide what to use. Partner with creative, media, and production agencies to develop briefs, evaluate concepts, improve the work, and bring campaigns to market. Establish agency relationships, campaign budgets, media planning, and paid me

About the Team The Integrated Marketing team sits at the center of product, brand, creative, media, research, and GTM work. We partner closely with PMM, Product, Developer Relations, Design, Comms, and agency teams to shape launches and campaigns that are clear, distinctive, and grounded in real audience insight. This is a growing function, so the team needs people who can both raise the quality of the work and build the operating model around it: bringing strong judgment, high agency, and trusted partnership to complex, visible moments. About the Role OpenAI business launches move quickly and often involve new products, model capabilities, or research that can change how businesses operate. We’re looking for an integrated marketing manager to help shape those launches from early strategy through execution. You’ll develop a point of view on the audience, positioning, creative direction, and channels, and help turn complex product and research advances into campaigns that connect with customers. You’ll partner across Product, Product Marketing, Research, Brand, Creative, Communications, Growth, and Sales, along with external agencies. The right person understands technology, has strong strategic and creative instincts, and knows how to bring together the right people and ideas to produce work that is clear, credible, and effective. This is a hybrid role based in San Francisco, with three days a week in the office. In this role, you will: Develop integrated marketing strategies for business product launches, new capabilities, model releases, and research moments. Partner with Product, Product Marketing, and Research to understand what’s changing, identify the right audiences, and shape positioning and launch narratives. Lead campaigns that bring launches to life across creative, communications, customer marketing, developer marketing, growth, sales, and paid, owned, and earned channels. Identify customer stories, product demonstrations, and creative concepts that make

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base. Key Responsibilities Algorithmic Development & Enhancement: Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi. Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking). Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value). Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components. Data Analysis & Modeling: Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics. Apply statistical modeling and machine learning techniques for data analysis and signal generation. Conduct flow analysis and performance tuning for various client flows. Provide data and analysis to support initial model validation and ongoing performance analysis. Collaboration & Support: Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantita