Researcher

• Partner with a cross-functional team to deliver AI-powered products
• Leverage technologies such as Pytorch and AWS
• Build AI foundation models through all phases of development
• Engage in high impact applied research
• Translate complex work into business goals

Applied Researcher I developing AI products at Capital One

Applied Researcher I

Applied Researcher I at Capital One delivering AI solutions with cross-functional teams. Engaging in high impact applied research to enhance customer interactions with successful AI implementations.

• Lead high-impact mixed methods research that shapes product strategy across clinical, revenue cycle, and AI-assisted workflows.
• Develop a deep understanding of how clinicians, care teams, administrators, and healthcare stakeholders work in real-world settings through interviews, contextual inquiry, workflow observation, surveys, and product data.
• Identify unmet needs, adoption barriers, trust dynamics, and product opportunities across specialties, care settings, health systems, and user roles.
• Partner closely with Product, Design, Engineering, Data Science, Clinical, Customer Success, and Go-to-Market teams to translate research into clear product direction and roadmap implications.
• Triangulate qualitative insights, quantitative data, product metrics, customer feedback, and domain expertise to bring clarity to complex decisions.
• Influence senior leaders and cross-functional teams through sharp synthesis, compelling storytelling, and actionable recommendations.
• Raise the bar for research rigor, ethics, and participant privacy in a high-trust healthcare and AI environment.

Staff Mixed Methods Researcher shaping healthcare AI experiences.

Staff Mixed Methods Researcher

Staff Mixed Methods Researcher at Abridge leading complex research to influence healthcare AI strategies. Engage with clinicians and stakeholders to enhance product development and outcomes.

• Lead or contribute to the design and execution of rigorous research and evaluation projects.
• Apply appropriate qualitative and/or quantitative methods to collect, manage, analyze, and interpret data.
• Communicate and disseminate about our work and findings in creative, engaging, and accessible ways.
• Manage small to mid-sized tasks or project components, including planning timelines, tracking deliverables, and liaising with clients while maintaining positive and collaborative relationships.
• Mentor and guide junior staff through regular feedback, training, and modeling of research best practices.
• Engage with stakeholders and partners through meetings, briefings, and field engagement activities.
• Contribute to a collaborative, inclusive work environment that values diverse perspectives, backgrounds, and experiences.

Quantitative Education Researcher at AIR focusing on AI technologies in education

Quantitative Education Researcher, Learning Supports

Quantitative Education Researcher at AIR leading research on AI's role in education. Collaborating on projects and producing evidence-based findings to improve teaching practices.

• Research newly discovered vulnerabilities in a wide range of software products
• Reverse engineer and research network protocols, file formats, and software
• Develop and verify proof-of-concept files and exploit code
• Produce reports describing software vulnerabilities and detection of attack vectors
• Monitor security industry publications, news groups and other online sources for newly discovered security vulnerabilities and emerging threats
• Implement new and improve existing tools to automate and streamline the vulnerability research process
• Collaborate with other vulnerability researchers on research, analysis and report production

Vulnerability Researcher conducting software vulnerability research at TrendAI

Vulnerability Researcher – Global, All Levels

Vulnerability Researcher conducting software vulnerability research across global systems. Collaborating with teams and reporting on vulnerabilities from a global AI security leader.

• Lead technical research on conventional and electric light-duty vehicle technology and cost
• Lead policy-relevant research projects on electrification and passenger vehicle efficiency
• Collect data and maintain databases on vehicle technology
• Conduct rigorous data and policy analysis
• Write reports, blogs, and other materials for publication
• Organize outreach activities, such as briefings, meetings, and workshops
• Deliver internal and external presentations
• Engage directly with policymakers, external stakeholders, and media
• Senior Researcher: Develop and lead complex projects, supervise and mentor ICCT interns and staff.

Researcher/Senior Researcher for ICCT on U.S. passenger vehicle fleet research

Passenger Vehicle Researcher – Multi-levels

Researcher/Senior Researcher at ICCT contributing to sustainable transportation solutions. Leading analysis on vehicle technology and influencing environmental policy in the U.S.

• Work alongside other Pinterest Product Researchers and key partners on our Design, Product Management, and Engineering teams on a high-impact project
• Use qualitative research methods, such as usability evaluations, individual interviews, and diary studies, to understand user needs and product opportunities
• Collaborate with an assigned mentor who will help you navigate the expectations associated with being an Product Researcher at Pinterest
• Leverage AI tools to optimize your workflow and to make cross-functional collaboration more productive and efficient
• Continually grow through various learning and development opportunities

Product Researcher supporting design and engineering teams at Pinterest

Apprentice Product Researcher

Product Researcher supporting Pinterest's design and engineering teams on user research and collaborative projects while leveraging AI tools for efficiency.

• Develop, implement, and validate derivatives pricing models for new and existing products across various asset classes (e.g., equities, commodities, futures, perpetuals, options).
• Monitor and analyze real-time and historical portfolio risk, including exposure, leverage, margin utilization, concentration, and liquidation.
• Design optimal automated liquidation logic and algorithms to balance market risk with market impact during extreme volatility.
• Perform scenario analysis and stress testing across a range of market conditions.
• Provide risk input into product onboarding, listing reviews, and regular risk parameter reviews: haircuts, margin levels, liquidation thresholds, index pricing, funding rates, and position limits.
• Analyze market microstructure on multi-asset derivative markets, periodically review and calibrate risk models according to evolving market conditions.
• Support the build and maintenance of internal risk dashboards and analytical tools.

Quant Researcher joining Crypto.com's global exchange team

Quant Researcher

Quant Researcher contributing to a fast-growth trading platform at Crypto.com. Bridging traditional finance and digital markets across diverse asset classes.

• Demonstrating and applying content knowledge and methodological expertise to study design decisions, project activities, and reporting.
• Contributing to or supervising collection and management of data for projects; · Leading or contributing to designs for rigorous experimental, quasi-experimental, and descriptive studies.
• Leading or contributing to quantitative analysis and write-up of research technical reports, briefs and other project deliverables.
• Carrying out task management activities, including supervising junior staff, communicating with senior managers, and communicating with clients as appropriate.
• Engaging in business development activities, including cultivating relationships with existing and potential new clients, capture planning, managing or writing proposals.
• Supporting collaboration among team members, both internal and external to the organization.
• Contributing to dissemination activities, including presentations, journal manuscripts, issue briefs, data dashboards, infographics and other products for a variety of audiences.
• Mentoring staff, share approaches to solving concrete study design and analytic problems, and provide feedback on the work of others.

Mixed Methods Disability Researcher conducting disability-focused research at AIR

Mixed Methods Disability Researcher

Mixed Methods Disability Researcher leading quantitative and qualitative research projects for disability-focused initiatives at American Institutes for Research. Collaborating with teams to improve economic opportunities for individuals with disabilities.

• Lead or contribute to the design and execution of Medicaid‑focused research and evaluation projects, including policy analyses, demonstrations, and program evaluations.
• Apply appropriate quantitative methods to collect, manage, analyze, and interpret Medicaid administrative data, such as claims, encounters, enrollment, eligibility, and provider data.
• Conduct analyses that examine Medicaid utilization, access, quality, cost, and equity outcomes across populations and delivery systems.
• Translate complex analytic findings into clear, actionable insights for state and federal Medicaid stakeholders, including client reports, technical memoranda, and presentations.
• Support proposal development for Medicaid‑related work by writing technical sections, contributing to analytic approaches, and supporting proposal strategy.
• Manage small to mid‑sized project tasks or analytic components, including planning timelines, tracking deliverables, and coordinating with internal teams and external clients.
• Collaborate closely with programmers, data scientists, policy staff, and project leadership to ensure analytic rigor and alignment with policy objectives.
• Mentor and guide junior staff through feedback, training, and modeling best practices in quantitative and Medicaid policy research.
• Engage with Medicaid stakeholders through meetings, briefings, and dissemination activities.
• Contribute to a collaborative and inclusive work environment.

Researcher focused on Medicaid policy and programs with AIR's Healthcare Innovations team.

Medicaid Researcher, Healthcare Innovations

Join AIR as a Researcher focused on Medicaid policy and programs. Collaborating on complex challenges related to Medicaid coverage, care delivery, and health equity.

• Production and delivering value to our customers.
• Leverage the Vinci framework to work on a variety of novel applications.
• Experiment with temporal propagation schemas.
• Use pre-existing data generation infrastructure.
• Take modest iterative steps to prove new utility.
• Work with Physicists, AI researchers, Software Engineers and Computational Geometry experts.
• Carry early prototypes through iteration and hardening to customer use.

Researcher developing operator intelligence infrastructure for modern hardware programs

Physics Applications Researcher

Researcher developing operator intelligence infrastructure for modern hardware programs. Leveraging simulation practices and collaborating with physicists and AI researchers to deliver customer value.

• Talk to customers constantly — running 15-25 customer conversations a week — discovery calls, user interviews, onboarding sessions, churn conversations
• Find the insights that change priorities by synthesizing customer feedback into actionable product recommendations
• Own customer discovery for new product surfaces — mapping landscape and validating product direction
• Be the voice of the customer in all product conversations, ensuring user context drives decisions
• Close the feedback loop after shipping products based on customer research
• Create content from customer conversations that assists marketing and product positioning

Product Researcher driving insights for web data infrastructure company

Product Researcher

Product Researcher identifying key insights through customer discovery for a rapidly growing web data infrastructure company. Collaborating with technical teams and shaping product development based on user feedback.

• Design and run experiments that improve model behavior in API and power-user workflows: function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning.
• Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements.
• Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions.
• Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks.
• Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness.
• Develop feedback loops that use power-user traces, API usage patterns, and production-like environments to discover the next frontier of agentic model failures and gaps.
• Help decide which agentic capabilities, behavioral fixes, and partner-team integrations are ready for inclusion in major model runs.
• Debug hard failures in shipped or near-shipped models by moving between traces, evals, training data, model outputs, and product context.
• Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.
• Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.
• Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.

Researcher improving model behavior for power users and API developers at OpenAI

Researcher, Agent Post-Training, API & Power-Users

Researcher improving capabilities and reliability of OpenAI’s agentic models for power users. Collaborating with teams to enhance model behavior in real workflows and develop innovative solutions.

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