Senior Machine Learning Engineer (Fleet Monitoring & Response)

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

Salary: $213,000–$263,000 USD per year

Company

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

What you will do

• Design, scale, and optimize a 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, including automated training and inference pipelines, low-latency spatial data stores, and continuous model drift monitoring.
• Partner with Product Data Scientists to productionize, evaluate, 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 with backend languages such as Java or C++.
• Experience building backend platforms that support multiple products or services.
• Machine Learning Engineering experience in Python with mature frameworks such as 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 at a ride-hailing or marketplace company.
• Coursework in machine learning and optimization.

Culture & Benefits

• Eligibility for a discretionary annual bonus program.
• Equity incentive plan and company benefits program, subject to eligibility requirements.
• Work on autonomous driving technology designed to improve mobility access and reduce traffic fatalities.