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Top AI Research Jobs in Seattle, WA
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead applied research and technical direction for agent memory in production AI: define roadmap, design and build memory and retrieval architectures, run large-scale experiments, develop evaluation frameworks, and partner cross-functionally to ship reliable, personalized long-running agent capabilities.
Top Skills:
Agentic AiData PipelinesEmbeddingsExperimentation PlatformsFeature StoresKnowledge GraphsLlmsModel ServingMultimodal RecallObservabilityPersonalization SystemsPythonRag (Retrieval-Augmented Generation)Retrieval SystemsSemantic Search
Cloud • Information Technology • Machine Learning
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.
Top Skills:
AIMachine LearningSaaS
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Senior Staff Information Architect leads metadata management, taxonomy design, and AI applications to enhance information architecture and user experiences across digital platforms.
Top Skills:
AIContent StrategyData ModelingDigital User ExperiencesMetadata ManagementOntology DesignTaxonomy Design
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
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.
Top Skills:
SparkAws NeptuneCdkCloudFormationEc2LambdaLangchainLlamaindexPysparkPythonS3ScalaSparqlTerraform
Artificial Intelligence • Internet of Things • Semiconductor
Lead a global UX research team focused on developer experiences for AI and developer platforms. Set research vision and operating model, mentor researchers, run qualitative and quantitative studies across tools, GUIs, CLIs, APIs and runtimes, and translate insights into product strategy by partnering with product, engineering, design, ecosystem and business stakeholders.
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Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.
Top Skills:
AIAPIsAutogptAws BedrockAzure OpenaiGoogle Vertex AiIdentity And Access Management (Iam)Identity Governance And Administration (Iga)JavaJavaScriptLangchainLlamaindexMachine LearningPython
Fintech • Mobile • Software • Financial Services
Evaluate and validate AI Coach chat outputs for accuracy and risk, act as subject-matter expert in personal financial planning, identify enhancements, escalate issues to Ops/Product/Compliance, and contribute reusable solution libraries to improve member experience.
Top Skills:
Ai ToolsChatbotsJIRALlms
Artificial Intelligence • HR Tech • Software • Business Intelligence
Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.
Top Skills:
ChatgptClaudeGemini
Information Technology
As Director of User Insights, you'll lead a research team, utilizing qualitative and quantitative methods to inform product decisions and improve user experiences. You will ensure research connects to actionable outcomes and supports product development initiatives.
Top Skills:
A/B TestingQualitative MethodsQuantitative Methods
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead and conduct mechanistic interpretability and alignment research for security-specialized AI. Develop methods to read model internals, detect misuse signals, design training interventions and evaluation frameworks, publish original research, and recruit and mentor a lean research team.
Top Skills:
Activation PatchingAdversarial EvaluationAlignment EvaluationsCausal TracingCircuit AnalysisFeature VisualizationLarge Language ModelsMechanistic InterpretabilityProbing ClassifiersRed Teaming
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