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

Design and optimize large-scale continual pre-training pipelines for vision-language foundation models; research novel pre-training techniques integrating multimodal sensor data; develop evaluation metrics for model performance and transferability in autonomous driving; and productionize advances from LLM/VLM research.

As a Senior Android Engineer, you will develop reliable Android components, design in-car systems, and manage the software lifecycle to enhance user experiences in autonomous vehicles.

The role involves developing simulation solutions and orchestration systems for autonomous driving, requiring deep engagement with C++ code, collaboration across teams, and solving complex technical challenges.

As a Machine Learning Engineer, you will apply ML techniques for perception tasks, develop model training methods, and evaluate performance in autonomous driving applications.

Lead technical strategy for iOS platform, build key infrastructure, ensure engineering excellence, and mentor senior engineers.

Manage complex multidisciplinary projects, identify gaps, implement scalable solutions, and drive system engineering processes from design to testing.

Define and implement a vision for Waymo's DevAI platform, leading cross-functional teams to integrate AI into developer workflows and ensuring alignment with corporate strategy.

Lead lifecycle and CRM marketing programs across email, push, and in-app channels to drive engagement, retention, and LTV. Build audience segmentation and personalization, develop brand-aligned content, partner with Product and Data Science, measure campaign impact, and manage technical campaign setup and creative assets.

Lead enterprise resilience risk assessments, maintain the resilience risk register, evaluate controls, and develop risk metrics and reporting. Partner cross-functionally to identify and mitigate disruption risks across operations, technology, and safety. Present resilience insights to executives, committees, and operational teams; manage risk acceptance and escalation processes; and assess regulatory and industry standards. The role also advances data-driven risk frameworks, business continuity practices, auditing, and compliance programs.

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.