Top AI Research Jobs in Seattle, WA

Research and explore Vision-Language-Action and Vision-Language Model architectures for autonomous driving. Identify model limitations, redesign architectures, translate academic research into scalable production code, optimize models for supercomputing environments, and mentor engineering teams transitioning into this area.

Conduct fundamental and applied robotics research across perception, planning, control, and learning. Develop algorithms for manipulation and loco-manipulation, integrate methods into real robotic systems and simulators, publish and engage with academia, transfer research to products, collaborate across teams, and mentor interns.

Own a scoped project in machine learning, AI infrastructure, MLOps, data, robotics, simulation, or world models. Work with production repositories, clusters, and data to deliver a lasting artifact such as a dataset, benchmark, evaluation, or tool, supported by a mentor and technical write-up.

Conduct advanced research and development in LLMs, MLLMs, generative AI, computer vision, and robotics perception. Design scalable multimodal models, optimize them for resource-constrained devices, evaluate performance using real-world datasets, and transition research into products. Collaborate with machine learning, firmware, and hardware engineers, provide technical leadership, mentor junior scientists, and contribute to patents, publications, documentation, and open-source initiatives.

Lead design and execution of large-scale annotation and labeling programs for AI model policy and safety. Build scalable annotation frameworks and playbooks, manage annotator teams, identify labeling errors and data trends, collaborate with policy leads and frontier AI lab stakeholders, and drive evaluations that inform model training, evaluation, and enforcement decisions.

Sell, scope, and package AI consulting engagements across enterprise AI GTM categories. Define assessments, workshops, pilots, and multi-phase programs; develop proposals, justify AI infrastructure, drive adoption of workforce AI and coding assistant services; collaborate with sales, architects, and delivery to ensure clean handoffs and measurable outcomes.

Lead research and engineering to train and productionize specialist foundational models for supply chain. Build large domain-specific corpora, design robust evaluation frameworks beyond standard benchmarks, iterate models and pipelines through multiple release cycles, and deliver checkpoints that run reliably in production under real customer load.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous, opinionated feedback distinguishing response quality levels and help define best practices for tools such as OpenAI Codex, Claude Code, and Cursor. The role requires senior engineering judgment but does not involve writing production code.

The AI Research Engineer will design, build, and deploy AI systems for therapeutic discovery, collaborating with interdisciplinary teams and applying advanced AI techniques to improve model performance.

The role involves leading research on multimodal AI systems, improving AI alignment, and collaborating with interdisciplinary teams to develop novel tools and methodologies.