Senior Machine Learning Engineer (Autonomous Driving)

Location: On site in Mountain View or San Francisco, California, United States

Salary: $213,000–$263,000 USD annual base salary

Company

Waymo develops autonomous driving technology, including the Waymo Driver and fully autonomous ride-hail services.

What you will do

• Design, scale, and optimize the real-time fleet monitoring and event response engine.
• Develop and deploy spatial-temporal anomaly detection models and use multimodal foundation models to detect, triage, and respond to off-nominal operations.
• Build ML infrastructure with automated training and inference pipelines, low-latency spatial data stores, and continuous model drift monitoring.
• Partner with Product Data Scientists to evaluate, productionize, and scale experimental models.
• Translate notebooks and prototype algorithms into production-grade backend systems.

Requirements

• BS degree in Computer Science or equivalent practical experience.
• 6+ years of programming experience in backend languages such as Java or C++.
• Experience building backend platforms that support multiple products or services.
• Machine Learning Engineering experience in Python using TensorFlow, PyTorch, or Keras.

Nice to have

• MS in Computer Science or equivalent practical experience.
• Experience deploying ML or optimization models into production.
• Experience developing ML data pipelines and workflow automation on mature ML infrastructure.
• Experience in ride-hailing or marketplace companies.
• Coursework in machine learning and optimization.

Culture & Benefits

• Full-time employment with eligibility for an annual discretionary bonus.
• Equity incentive plan and company benefits program, subject to eligibility requirements.
• Work focused on autonomous driving, fleet operations, and expanding to global operating locations.