Top AI & Machine Learning Jobs in Seattle, WA

Lead the applied ML science team for Marketing to build production ML models and optimization systems for bidding and capital allocation. Own roadmap and OKRs, drive experimentation and measurement, ensure MLOps and production reliability, hire and develop talent, and partner cross-functionally to deliver measurable business impact.

Mid-level product analytics role partnering with product and engineering to analyze large datasets, design experiments, build statistical and ML models, measure success metrics, optimize user experience with GenAI-driven personalization, and deliver actionable insights and scalable analytics solutions to improve product outcomes.

Lead analytics and measurement strategy for SPP, manage a team of ~3 data scientists, prioritize roadmap, develop cross-channel measurement and causal methods, drive automation and scalable dashboards, enforce reproducible code/data practices, and influence senior stakeholders to translate analytics into business impact.

Design, implement, deploy, and monitor end-to-end ML solutions to improve post-booking customer experience. Conduct experiments, measure business impact, collaborate with product and engineering, and iterate on models for recommendations, customer service, and operational optimization.

Design, build, and scale end-to-end ML systems for distribution and supply: problem framing, data sourcing, feature engineering, model development, deployment, monitoring, and operational support. Collaborate with product and engineering teams, drive ML best practices (experimentation, observability, reliability), and mentor other engineers to improve ML engineering across domains.

Lead cross-functional analytical work to define questions, measure outcomes, and build scalable data science assets. Perform advanced analytics, experimentation, KPI design, and data storytelling to inform product and business decisions while mentoring others.

Lead strategy and execution for LLM-powered AI agent servicing and ML personalization across customer service. Define ML vision, design and productionize state-of-the-art models, run experiments and A/B tests, establish responsible-AI and MLOps best practices, mentor scientists, and partner cross-functionally to drive measurable product and operational impact.

Lead strategy and execution for Expedia Group's Business to Agent channel, building theses, roadmaps, experiments, and productionalization to surface inventory and pricing to AI agents. Own agent legibility, access, reasoning research, high-velocity experimentation, cross-functional influence, and executive communications while leading a senior engineering squad.

Lead hands-on prototyping and productionization of AI-powered traveler experiences. Define reusable AI patterns, evaluate frontier models, partner with engineering/design/data science, set metrics and experimentation, ensure guardrails and quality, and share playbooks across the company.

Lead strategy and implementation of Expedia Group's AI evaluation framework. Build metrics, tooling, and governance to measure accuracy, safety, transparency, and performance across AI experiences. Partner with engineering, data science, and product teams to design instrumentation, publish scorecards and recommendations, and drive alignment on evaluation standards and responsible deployment.