Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead strategy and execution for Waymo's Simulation and ML Evaluation platforms. Integrate simulation into the ML development loop, deliver cross-functional programs to scale evaluation infrastructure, manage resourcing and capacity, align stakeholders, and build and mentor a high-performing TPM team to accelerate model training, evaluation, and validation.

Lead execution of large cross-functional programs for simulation and ML evaluation. Integrate simulation and playback tools into ML development loops, manage dependencies and risks, coordinate releases and operations, contribute technical judgment to platform design, and scale evaluation processes and tooling for developer velocity and reliability.

Design and scale data pipelines and automated closed-loop systems for continuous improvement of perception models. Deploy active learning, curate and prune large datasets, develop evaluation metrics and ground-truth‑free performance measures, and build robust mining, training, and evaluation pipelines for rare, safety-critical scenarios while collaborating with research and operations teams.

Lead a small team focusing on system-level optimization and performance enhancement of Waymo's sensor data processing, utilizing CPU and GPU code optimizations.

Develop vehicle dynamics models using C++ and various tools, integrating them into the Waymo Simulator, and validate through test campaigns.

Develop and train computer vision and multimodal models, design scalable AI frameworks, and improve systems through fine-tuning and reinforcement learning techniques while collaborating with multiple teams.

Lead the Sensing Resilience product roadmap for calibration scalability, multi-platform sensing validation, fault recovery, and safe degraded-system driving. Coordinate cross-functional partners (Perception, Hardware, Systems, Simulation, Operations) to translate company goals into deliverables and long-term needs that advance product, business, and safety objectives.

The Data Scientist will develop performance evaluation frameworks for autonomous vehicles, using statistical models and metrics to ensure quality and safety of the Waymo Driver, while collaborating with engineering teams on simulation data and product readiness.

Lead business development for Waymo's in-car experience partnerships: source, structure, negotiate, and execute deals; manage partner integrations and relationships; coordinate cross-functional teams to ensure technical viability and brand alignment.

Design and optimize pre-training pipelines for VLM models, conduct research on pre-training techniques, and evaluate performance for autonomous driving.