Top AI & Machine Learning Jobs in San Francisco, CA

Lead development of map-grounded world foundation models and generative scenario synthesis for AVs. Own end-to-end ML lifecycle, bridge generative models with classical simulators, define synthetic data quality and validation frameworks, run POCs with partners, and enable sim-to-real strategies to improve perception and planning.

Lead the evaluation and data-quality strategy for advanced AI, vision, and perception systems. Define metrics, failure taxonomies, and human-review protocols; translate evaluation findings into data strategy, experiment priorities, and product release decisions. Partner with model, simulation, and platform teams to drive production-readiness and continuous quality improvements.

Lead strategy and execution for generative and multimodal vision systems, from research to production. Design model architectures, adaptation, evaluation, and deployment pipelines; improve realism, controllability, robustness, and temporal consistency; benchmark and guide model selection; mentor scientists and coordinate cross-functional engineering to ship production-ready AI capabilities.

Define and drive a visual-first map platform, architecting end-to-end visual-to-map pipelines (imagery→3D→semantic maps). Lead scalable 3D geospatial data processing and AI-based map creation using computer vision, world models, and USD. Standardize scene representations, build export pipelines, align platform with ADAS/digital twin needs, and provide technical leadership and mentoring across teams.