Machine Learning Engineer (Fleet Monitoring)

Location: Onsite in Mountain View or San Francisco, California

Salary: $175,000–$215,000 USD per year, plus potential annual bonus, equity incentives, and company benefits.

Company

Waymo develops autonomous driving technology and operates a fully autonomous ride-hailing service powered by the Waymo Driver.

What you will do

• Design, scale, and optimize real-time fleet monitoring and event response systems.
• Develop spatial-temporal anomaly detection models and use multimodal foundation models to identify and respond to abnormal operations.
• Build ML infrastructure, including automated training and inference pipelines, low-latency spatial data stores, and continuous model-drift monitoring.
• Productionize, evaluate, and scale experimental models in partnership with Product Data Scientists.
• Translate notebooks and prototype algorithms into reliable, production-grade backend systems.

Requirements

• BS degree in Computer Science or equivalent practical experience.
• 5+ 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 TensorFlow, PyTorch, Keras, or similar mature frameworks.
• Ability to work onsite in Mountain View or San Francisco, California.

Nice to have

• MS degree in Computer Science or equivalent practical experience.
• Experience deploying ML or optimization models in 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

• Opportunity to build software for autonomous driving and fully autonomous ride-hailing.
• Eligibility for a discretionary annual bonus program.
• Equity incentive plan, subject to eligibility requirements.
• Company benefits program, subject to eligibility requirements.