Top AI & Machine Learning Jobs in San Francisco, CA

Lead a data science team and personally drive analyses, experiments, and product insights focused on patient experience. Partner with Product, Engineering, Research, and Data Engineering teams to identify consumer pain points, improve product performance, and inform planning. Manage analysts, develop talent, translate technical findings for nontechnical stakeholders, and apply statistical analysis, A/B testing, product metrics, and marketplace analytics to influence business and product decisions.

Analyze billing patterns, healthcare claims, and complex datasets to identify anomalies and integrity issues. Build risk-monitoring pipelines, compliance dashboards, and proactive safeguards for the Trust and Safety team. Translate technical findings into clear risk assessments for legal, compliance, and executive stakeholders while supporting regulatory compliance and protecting patient care.

The role involves architecting and building scalable AI systems for mental healthcare, focusing on patient engagement and clinical operations. The engineer will handle system architecture, engineering problems, and guide AI implementation within a regulated environment.

Lead analytics for EHR and revenue cycle products and operations. Partner with Product, Finance, Billing, and CX to run experiments, analyze financial and operational metrics, investigate billing/account issues, and deliver actionable insights that improve accuracy, reduce friction, and support sustainable growth.

Lead the technical direction of applied AI products, owning product innovation, and enhancing AI implementation and performance in a fast-paced environment.