Top Research Jobs in Seattle, WA

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.

Lead end-to-end quantitative market research, including research planning, surveys, advanced statistical analysis, synthesis, and stakeholder presentations. Build and manage brand and sentiment measurement programs, identify customer and market trends, and provide strategic recommendations for growth and product opportunities. Partner with business leaders, promote research-driven decision-making, and mentor junior researchers while scaling the organization’s research practice.

Develops commercial growth for real-world evidence solutions by building Pharma and biotech partnerships, shaping go-to-market strategies, designing study proposals, presenting scientific solutions, and collaborating on data products and analytics. Requires expertise in oncology, HEOR, RWE methodologies, clinical trials, and diverse real-world data sources. The role manages enterprise client relationships, supports revenue targets and forecasting, and travels up to 20%.

Research and interpret federal and state tax law changes, translate them into software requirements, validate tax calculations, and partner with developers on compliant tax technology. The role also creates technical documentation, supports strategic product initiatives, provides tax subject-matter expertise, and uses AI and analytics tools to improve research and workflow efficiency.

Leads DigitalOcean’s Applied Research function for agentic AI, setting the research agenda across model routing, memory, observability, and reinforcement learning. Builds and manages a research team, connects research investments to product outcomes, and partners with engineering to ship production capabilities that improve reliability, cost, latency, and task success. Represents the company externally through publications, talks, open-source work, and research collaborations.

Leads partnership tax planning and compliance initiatives, oversees tax return preparation and review, provides strategic consulting, analyzes complex regulations, and optimizes client tax positions. Manages projects, timelines, budgets, stakeholders, and deliverables while mentoring team members and upholding professional standards. The role also promotes technology and innovation in tax service delivery and supports international taxation and regulatory compliance activities.

Provide specialized tax advice on complex areas including R&D tax credits and accounting methods. Analyze tax regulations, optimize client tax positions, document strategies, and uphold PwC technical standards. Collaborate with clients, mentor junior staff, build relationships, and apply analytical and technical writing skills to support tax planning and compliance in a hybrid professional environment.

Perform tax form and regulation research, interpret tax code updates, guide programmers on calculation changes, design and execute tests, document calculations, contribute release notes and customer guidance, and support tax software products remotely.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

The Senior Product Manager will lead the strategy and roadmap for CrowdStrike's threat detection technologies, collaborating with various teams to enhance cybersecurity products.

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 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.

Develop an open-source AI-powered, physics-informed climate model for improved multidecadal forecasting. Adapt NeuralGCM training pipelines for Google Cloud and NVIDIA GPUs, document and distribute code, couple the model with an ML ocean model, test performance in unseen climates, collaborate through software engineering practices, and create tutorials for the climate modeling community.

Develop an AI-powered, physics-informed hybrid climate model for accurate multidecadal forecasting. Responsibilities include coupling NeuralGCM with an ML ocean model, designing physically constrained learning approaches, testing model performance in unseen climates, publishing research, contributing to open-source code, collaborating with climate scientists and engineers, and mentoring postdocs and interns.

Conduct security research focused on next-generation intrusion and anomaly detection. Analyze large-scale security event data, develop machine learning and statistical models, and design scalable, low-latency analytics platforms using streaming, graph-based, and representation-learning techniques. Collaborate with researchers, product teams, and engineers to transition concepts into deployed systems, while publishing and presenting findings in leading security, systems, and data-management venues.

Conduct applied AI research in computer vision, machine learning, generative AI, and multimodal systems. Lead research from proof of concept through production, developing responsible and privacy-preserving models for visual data. Create metrics, optimize models for resource-constrained devices, validate performance, collaborate with scientists, engineers, and product managers, and contribute to publications, technical documentation, and patents.

Design, build, and productionize AI-native software and agentic tooling across the SDLC. Lead architecture and engineering excellence, collaborate with researchers and product teams, and deliver scalable, secure, well-tested AI products and prototypes-to-production solutions.

Supports clinical research activities by organizing and verifying research data, managing study documents and committee materials, assisting with confidentiality agreements, maintaining shared drives and process maps, processing financial documents, and supporting clinical procedures such as vital signs, ECGs, and laboratory shipments.

Performs moderate- and high-complexity testing on human specimens in a CLIA/CAP-regulated laboratory. Responsibilities include operating PCR and sequencing platforms, processing and tracking clinical samples, maintaining records, verifying patient data, reporting results, managing equipment and reagents, and following molecular biology protocols. Level II additionally supports process improvement, equipment calibration, vendor coordination, training junior staff, and laboratory projects.

Lead development and large-scale training of foundation models across pretraining, fine-tuning, and post-training. Design experiments and evaluations, diagnose training failures, improve model quality, scale methods on GPU clusters, and provide technical direction and mentorship across research and engineering teams.

Lead research and development of high‑fidelity, physics‑based quantum device models, noise models, and synthetic data pipelines. Build GPU‑accelerated simulation frameworks, validate models against experiments, and collaborate with product, engineering, and research teams to enable fault‑tolerant quantum hardware simulation and real‑time modeling.

Lead independent AI research on large language models and agentic systems, from hypothesis through training, evaluation, and production deployment. Develop post-training methods, reasoning and planning capabilities, evaluation benchmarks, synthetic data pipelines, and enterprise AI improvements. Publish at leading conferences, shape model strategy, and mentor researchers and engineers.

Conduct security research involving malware, threats, vulnerabilities, adversary tracking, threat intelligence, detection, remediation, and reverse engineering. Analyze threat trends, process intelligence reports, identify vulnerabilities, contribute code and automation, support incident response, and improve security products using machine learning and behavioral profiling. Collaborate with internal teams, customers, and partners on cloud-based threat detection capabilities.

Provides strategic and administrative support to multiple Vice Presidents and leadership teams across Research, Development, and Product. Responsibilities include complex calendar management, meeting and planning coordination, travel and expense administration, preparation of agendas and briefing materials, action-item tracking, dashboard and documentation maintenance, vendor and financial paperwork, confidential communications, and process improvement.

Paid, nine-week Wealth Management Research Internship supporting portfolio analysis, investment due diligence, equity research, market commentary, and the Student Investment Program. Interns work with research analysts and associates, contribute to ad hoc projects, participate in leadership programming, and may prepare for the FINRA SIE exam. The role requires strong academics, analytical and communication skills, teamwork, U.S. work authorization, background and credit checks, and commitment to the full program.