Top AI Research Jobs in Seattle, WA

PhD-level research internship focused on user modeling and personalization: lead research projects (graph modeling, generative recommendation, ML efficiency), build scalable prototypes for large-scale training, publish results, and collaborate with product teams to translate research into improvements.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

Lead development of a Semantic Brain: map raw event logs to industry ontologies, build concept/identity-anchored graphs, design reward extraction and off-policy evaluation, deploy agentic LLM orchestration and scalable data pipelines to enable autonomous enterprise decisioning.

Own Deepgram’s end-to-end text-to-speech research program, including technical strategy, model architectures, experiments, training, evaluation, and production deployment. Lead researchers and technical managers, establish roadmaps, advance naturalness, expressiveness, multilingual generation, controllability, voice consistency, and inference efficiency, and partner with engineering and product leadership to ship high-quality models.

Lead MongoDB's strategy to increase LLM and answer-engine visibility by optimizing content, structured data, and community signals. Build and scale an AEO/SEO team, implement technical information architecture (JSON-LD, knowledge graphs, RAG-friendly docs), coordinate UGC/community advocacy, evangelize AI-first content practices, and develop analytics/attribution (Share of Model, citation impact) to drive PLG acquisition.

Manage and coach a team of mentors to ensure delivery outcomes for ~200 AI fellows at scale. Build delivery systems, run operational cadence, lead live instruction when needed, translate field signals into curriculum changes, and partner with strategic partners to close the feedback loop between mentors, fellows, and the curriculum team.

Conduct applied large language model research for Zoom AI Companion features, focusing on post-training, reinforcement learning, reward modeling, evaluation, agentic AI, tool usage, multimodal understanding, long-context modeling, and retrieval-augmented generation. Build training and evaluation pipelines, benchmarks, and annotation workflows while collaborating with scientists, engineers, and product managers to translate research into production-ready solutions.

Provide technical and strategic counsel to the CEO of Microsoft AI. Engage with research teams across pre-/post-training, multimodal systems, infrastructure, and safety. Prototype and evaluate models and infrastructure, analyze technical tradeoffs, synthesize executive-level recommendations, drive critical initiatives, and ensure alignment between leadership and research teams.

The Research Engineer will develop training environments for agentic AI, balancing research and engineering tasks while collaborating with teams.

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.