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

Develop and lead evaluation systems, benchmarks, and large-scale data pipelines for Waymo foundation models and embodied AI agents. Evaluate models across pretraining, supervised fine-tuning, and reinforcement learning for quality, safety, and realism. Collaborate across teams to bring innovative machine learning technologies into production. The role requires strong ML engineering, deep learning, distributed systems, programming, analytical, and debugging skills.

Lead and drive the vehicle cybersecurity roadmap across platforms, managing requirements, risk-based triage, feature design, implementation, verification, and release reporting. Coordinate cross-functional and external OEM/supplier teams, partner with fleet operations to mitigate operational friction, and ensure architectures meet automotive security standards and regulations.

Develop and maintain the Android platform for autonomous vehicles, evaluate vendor kits, provide technical support, and bring up Android on new hardware.

Lead growth initiatives for Waymo's rider product by building features, tooling, and infrastructure to drive trip growth. Partner cross-functionally with data science, marketing, UX, engineering, and operations to improve experimentation, measurement, and customer acquisition efficiency. Define and promote growth strategy to senior leaders and execute on incentives and CAC optimization.

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.

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.

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

As a Senior Data Scientist at Waymo, you'll develop evaluation frameworks for performance metrics, analyze simulation and driving data, and mentor other data scientists while collaborating with engineering teams to enhance autonomous vehicle technology.