Top Research Jobs in Seattle, WA

Lead and execute research on large language models and agentic systems, running large-scale post-training experiments (SFT, RLHF, RLAIF, DPO, GRPO), building evaluation benchmarks and data synthesis pipelines, translating research into model improvements and production deployments, publishing at top venues, and mentoring researchers and engineers.

Design and research agentic AI and reinforcement learning systems: build auto-research and coding agents, develop recursive self-improvement and multi-agent frameworks, run RL experiments (RLHF, DPO, PPO), curate training data pipelines, and publish results at top ML venues.

As a Lead Data Scientist, you'll apply advanced analytics and machine learning to enhance advertising technology, drive innovations, and develop data-driven insights while mentoring team members.

Develop and optimize generative AI applications and traditional ML models for advertising. Lead innovations, mentor engineers, and ensure system robustness.

The postdoc will develop novel superconducting detectors for particle physics, involving design, nano-fabrication, device testing, and data analysis.

The Postdoctoral Research Associate will investigate age-related memory changes using fMRI and may develop independent research projects. Responsibilities include study design, data analysis, manuscript writing, and lab communication.

The Application Analyst III supports enterprise applications by analyzing use cases, performing configurations, managing incidents, and advising users on best practices, ensuring alignment with University needs.

Develop AI compiler solutions, optimize GPU programming, build training pipelines, collaborate on integrating AI policies, and conduct rigorous performance benchmarking.

Manage financial operations for Convergent and its FROs, overseeing monthly close, reconciliations, treasury, AR/AP, payroll, grant financial oversight and reporting, audit readiness including 990s, and improvements to systems, controls, and SOPs while translating finance to non-finance stakeholders.

Support JMI's marketing team by creating customer profiles, helping develop targeting strategies for other interns, and completing a flexible, course-aligned market research project under mentor guidance.

Lead and scale communications across a portfolio of Focused Research Organizations and Convergent's own channels: coach scientific founders, run workshops, manage internal newsletters and digital channels, curate vendor networks, coordinate press, and build repeatable systems using AI and operations discipline.

Support digital marketing and community efforts in MENA: gather and manage data for content and campaigns, handle community queries on Telegram/Discord, use campaign portals (Task On, Galaxy, Zealy), conduct data research, assist lead generation, monitor campaign metrics, and follow the content plan to improve engagement and ROI.

Lead on-site and remote clinical monitoring and site management for complex studies, ensuring GCP and regulatory compliance, data integrity, and audit-readiness. Mentor CRAs, support site selection, conduct SIVs/close-outs, manage queries and deviations, develop study documents and monitoring tools, and coordinate with sponsors and PMs. Travel up to 80%.

Perform iOS reverse engineering and software engineering to build mobile security tools. Analyze apps and frameworks for jailbreak detection, runtime protection, PII leakage, and vulnerabilities. Adapt large codebases, write Frida scripts, collaborate across R&D to develop and upgrade mobile security solutions, and present research externally.

Perform fundamental equity research across US Industrials sub-sectors: develop primary sources, analyze financials, build valuation and comparable models, quantify risk/reward, assess sector and macro risks, and communicate investment ideas.

Build and own a versioned, documented gold data layer from silver Lakehouse sources for AI research. Transform, validate, and curate multi-modal datasets, build reusable Databricks/PySpark pipelines, automate quality and labeling, support researcher workflows, and maintain lineage and dataset snapshots for model development and evaluation.

Conduct in-depth research and due diligence on crypto projects, produce comprehensive reports and risk assessments, analyze on-chain and internal data, evaluate TradFi intersections with tokenization, engage with project teams, and monitor market trends to inform Binance Research and cross-functional stakeholders.

Source and evaluate blockchain and crypto projects for listing, build relationships with founders and VCs, support due diligence and tokenomics analysis, drive internal approvals, negotiate terms, and represent Binance at global events.

Lead long-horizon R&D to define future decision intelligence: explore reasoning architectures, prototype and formalize system primitives, evaluate new signal classes, and translate research into reusable components aligned to strategic product direction.

Apply formal decision theory and structured reasoning to enterprise problems: design decision frameworks, model uncertainty and tradeoffs, test decision architectures, run experiments, and translate research into system-ready primitives collaborating with engineering and product teams.

Build and maintain experimental decision-system prototypes, evaluation tooling, simulation environments, and research infrastructure to enable rapid iteration and validation of research concepts in real-world constraints.

Support the Data Analyst team by updating data tools, conducting research, organizing and analyzing quantitative and qualitative utility data, documenting workflows, and translating findings into written and visual summaries for clients and internal teams.

Lead quantitative research on LGBTQ+ youth mental health and suicidology using national cross-sectional and longitudinal surveys. Design analyses, co-author peer-reviewed manuscripts and public reports, present findings to stakeholders, inform survey design, collaborate across teams, mentor on quantitative methods, and support data-informed program initiatives.

The intern will work on researching and developing advanced techniques related to game graphics, animation, simulation, and machine learning while collaborating with scientists.

Design and run rigorous fairness and bias evaluations for AI-assisted People systems across the employee lifecycle. Build scalable testing infrastructure, conduct subgroup and intersectional analyses, investigate disparity sources, recommend mitigations, and translate results for technical and executive stakeholders. Partner with cross-functional teams to establish documentation, monitoring, and validation standards for high-impact human-AI decision systems.