Top Research Jobs in Seattle, WA

Build and deploy production-grade AI and machine learning systems supporting biomedical research and drug discovery. Own technical solutions from architecture through deployment, including data pipelines, retrieval systems, knowledge systems, inference services, evaluation frameworks, and human-in-the-loop workflows. Partner with scientists and engineers to transform prototypes into scalable, secure, reliable platforms. Lead technical delivery, make architecture tradeoffs, improve engineering standards, mentor teammates, and promote responsible AI practices.

Build and deploy production-grade AI and machine learning systems supporting biomedical research, including multimodal models, intelligent agents, retrieval, knowledge systems, evaluation frameworks, and inference services. Own architecture through production, make scalability and reliability tradeoffs, establish responsible AI practices, and drive technical delivery. Collaborate with scientists, computational biologists, and platform teams while mentoring engineers and improving engineering standards, observability, and system performance.

Develop and evaluate advanced machine learning methods for biomedical, clinical, molecular, and scientific data. Build foundation models, multimodal and graph-based systems, generative methods, and agentic reasoning tools. Design rigorous experiments, benchmarks, and validation frameworks; assess robustness, uncertainty, interpretability, and scientific utility. Collaborate with researchers, engineers, computational biologists, and domain experts to translate research into reusable capabilities supporting drug discovery and development.

Leads vulnerability intelligence research focused on rapidly analyzing and exploiting newly disclosed or actively exploited vulnerabilities. Develops Metasploit modules and framework improvements, conducts zero-day research, publishes technical analyses, advises detection teams, supports emergent threat response, presents research publicly, and mentors other researchers. The role requires advanced exploitation, reverse engineering, operating system, networking, and exploit mitigation expertise, plus cross-functional communication during time-sensitive security events.

Conduct manager research, maintain investment data and monitoring tools, develop asset allocation studies and capital markets materials, support Morningstar reporting functionality, and provide advisors with research-driven resources and data support. The role requires translating investment insights into actionable client-facing deliverables while managing recurring reports, surveys, searches, and multiple deadlines.

Conduct an AI-focused research project and contribute tools, pipelines, and systems for Atlassian’s Research and Insights organization. The intern will help develop AI-enabled research workflows, collaborate with a research manager, and support faster insight generation for cross-functional teams. The 12-week, full-time internship is based at Atlassian’s Seattle hub and includes mentorship, technical training, and professional development.

Support Dscout clients in designing, recruiting, fielding, analyzing, and managing user research projects on the platform. Train clients on platform features, recommend research methodologies, create educational materials, assist with billing and administration, support research participants, and communicate client feedback internally to improve the product. The role requires strong client service, project management, user research knowledge, qualitative analysis skills, organization, empathy, and technical curiosity.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Lead research in language models, personalization, recommendation systems, information retrieval, and generative modeling. Build scalable machine learning prototypes, conduct large-scale distributed experiments, publish findings, mentor junior researchers and interns, and partner with engineering teams to deploy technologies serving Snapchat users. The role requires strong Python and PyTorch expertise, research leadership, publications, and experience applying language models to search, ranking, or personalization.

Design, modernize, and build cloud-native applications for quantitative portfolio tools. Integrate third-party data, implement secure coding practices, create unit/integration tests, perform code reviews, and use AWS, Kafka, Docker, Terraform, and NoSQL technologies. Collaborate with business and development teams and drive cross-functional software initiatives.

Conduct applied AI research with Microsoft researchers and product partners. Interns develop and evaluate state-of-the-art models and enterprise AI agents, investigate areas such as LLM post-training, reinforcement learning, continual learning, privacy, and human-AI collaboration, present findings, publish research, and collaborate across teams during a 12-week internship.

Provides pre- and post-award administration for sponsored research portfolios, including grant proposals, budgets, financial reconciliation, forecasting, compliance, reporting, subawards, and closeout. Advises faculty and program leadership on regulatory and institutional requirements, supports procurement, HR, equipment, reporting, and research operations, and coordinates with internal and external stakeholders.

Coordinates clinical trials from initiation through closeout, ensuring protocol compliance, participant safety, data integrity, and regulatory adherence. Responsibilities include screening and enrolling participants, obtaining consent, administering investigational products, performing nursing assessments and procedures, documenting adverse events, managing study supplies and regulatory records, entering clinical data, supporting monitoring visits, educating participants, and training team members. Requires active Washington RN licensure and clinical nursing experience.

Analyzes recruiting competitive intelligence, talent-market trends, competitor hiring, and workforce data. Develops research frameworks, dashboards, automated reporting, and executive-level recommendations to guide hiring strategy. Partners with recruiting, workforce planning, IT, and data engineering teams to address research requests, improve data accuracy, and scale intelligence delivery through technology and AI-enabled solutions.

Coordinates Phase I–III clinical trials and observational cancer studies, including participant screening, enrollment, informed consent, visit scheduling, specimen handling, data entry, source documentation, billing coordination, monitoring visits, and regulatory compliance. Collaborates with clinical teams, sponsors, monitors, and data coordination staff. Maintains study tools, records, supplies, and protocol documentation while supporting compliant implementation under GCP and institutional requirements.

Conduct research in data systems alongside Microsoft researchers and engineers. Projects may involve cloud data platforms, resource management, storage, query processing, optimization, auto-tuning, data lake discovery, curation, and safe AI interaction with data. Interns collaborate with mentors, present findings, contribute research innovations, and participate in a 12-week internship community.

Conduct research on brain-computer interfaces using EEG and other biosignals. Interns collaborate with Microsoft researchers, develop and evaluate well-defined projects, implement practical algorithms and real-time systems, present findings, and potentially contribute to peer-reviewed publications. The 12-week internship includes mentorship, collaboration with other interns and researchers, and a final presentation to Microsoft employees.

Execute and troubleshoot analytical methods for antibody therapeutics using UPLC, CE, and binding assays. Support method optimization, qualification, data analysis, stability and comparability studies, documentation, instrument maintenance, reagent preparation, and technical reporting. Collaborate across CMC teams and help build scalable analytical laboratory infrastructure. The onsite role requires hands-on biologics analytical development experience, strong laboratory skills, and familiarity with antibody characterization and critical quality attributes.

Leads multiple concurrent quantum computing R&D programs, translating research roadmaps into measurable execution plans and scalable technologies. Partners across applied research, engineering, product teams, and external organizations to prioritize work, manage risks, solve technical challenges, and advance quantum technologies toward fault-tolerant computing. Requires strong technical understanding of quantum hardware and software, exceptional communication, and extensive experience managing complex cross-functional technology initiatives.

Conduct advanced research in quantum error correction and fault-tolerant quantum computing. Develop novel error-correction codes, logical operations, synthesis methods, and fault-tolerance techniques. Collaborate with Product, Engineering, Applied Research teams, external partners, and quantum hardware teams to integrate quantum software and hardware components. Drive technical innovations from theory toward practical quantum computing products.

Conduct applied research on next-generation AI agents, including agent memory, reusable skills, reliability, self-improvement, planning, and multi-agent coordination. Collaborate with researchers and product teams, build and evaluate agent systems, present findings, and contribute to publications, open-source releases, patents, and conferences during a 12-week internship.

Produces, purifies, titrates, and characterizes AAV, lentivirus, and rabies virus preparations. Performs molecular cloning, DNA/RNA purification, cell culture, and in vitro and in vivo characterization. Maintains accurate records, follows SOPs and good laboratory practices, meets production schedules, and supports viral tool development in a Biosafety Level II laboratory.

Leads UX and human factors research for medical devices, pharmaceuticals, and other safety-critical products. Designs and executes formative and validation usability studies, analyzes qualitative and quantitative data, develops FDA-aligned protocols and reports, identifies use-related risks, and translates findings into design and regulatory recommendations. Manages projects, budgets, deliverables, client presentations, proposals, and internal thought leadership while collaborating with engineers, regulatory reviewers, and senior stakeholders.

Lead the Hardware Intelligence research agenda, developing AI agents that reason over hardware data, operate engineering tools, connect simulations with physical tests, and coordinate across systems. Build RL environments, verifiers, and post-training methods; deploy models on-device, on-premises, and in air-gapped environments; establish benchmarks; and hire and mentor researchers. The role requires setting technical direction, conducting statistically rigorous experiments, and delivering research that improves shipped products.

Research Engineer improving AI agents for hardware engineering through evaluations, grounded training data, graders, post-training, reinforcement learning, and reproducible research infrastructure. The role investigates agent failures on real hardware tasks, develops benchmarks and verification systems, prototypes agent capabilities, evaluates experiments, and ships successful improvements to customer-facing systems.