Top AI & Machine Learning Jobs in Seattle, WA

Design and prototype AI-native, agentic user experiences by delivering coded prototypes (React/TypeScript), leveraging LLMs and generative tools, and partnering with product and engineering to ship scalable, data-driven AI features and design system primitives across the platform.

Design, implement, and productionize scalable ML models and microservices; build and maintain data pipelines; prototype solutions, participate in architecture and design reviews, and collaborate with cross-functional teams to deliver ML-powered product features.

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.

Lead strategy and execution to evolve a mature text analysis engine into a hybrid LLM/classical ML architecture. Manage and mentor a team of product managers, partner with applied science and engineering, define multi-year roadmaps, establish evaluation frameworks, and balance cost, latency, accuracy, and compliance while driving scalable text analytics across the Qualtrics platform.

Lead product strategy and roadmap for Qualtrics' Core AI Platform, building foundational capabilities (ontologies, agents, model infra, retrieval, observability, safety). Partner cross-functionally to define architecture, prioritize investments, drive implementation, and measure platform adoption, reliability, and AI quality for enterprise use.

Lead design and development of scalable AI architectures and frameworks, collaborate with research and product teams, deploy and optimize ML/LLM systems in production, guide ML platform strategy, perform code reviews, mentor engineers, and evaluate emerging AI technologies for business impact.

Lead research and productization of ML/AI solutions across Qualtrics: design, train, fine-tune, evaluate, and deploy generative and agentic models. Collaborate with product and engineering, mentor junior scientists, implement evaluation-driven development, and ensure production reliability, scalability, and observability.