Waymo
Senior Machine Learning Engineer, Fleet Monitoring & Response
$213K–$263K
San Francisco, CA +3 · Senior · Full-time · Posted May 18, 2026
- Location
- San Francisco, CA
Mountain View, CA, USA
Mountain View, California, United States
San Francisco, California, United States - Experience
- 6+ years programming in backend coding languages.
- Education
- BS degree in Computer Science or equivalent practical experience.
About the job
Designs and scales real-time fleet monitoring and event-response systems, using machine learning to detect and respond to off-nominal autonomous vehicle operations.
What you'll do
- Design, scale, and optimize the real-time fleet monitoring and event-response engine.
- Develop and deploy spatial-temporal anomaly detection and multimodal foundation-model systems to detect, triage, and respond to operational issues.
- Build ML infrastructure and productionize, evaluate, and scale models with Product Data Scientists.
What they ask for
- BS in Computer Science or equivalent practical experience.
- 6+ years programming in backend languages such as Java or C++.
- Experience building backend platforms supporting multiple product use cases or services.
- Machine Learning Engineering experience in Python using mature ML frameworks such as TensorFlow, PyTorch, or Keras.
Nice to have
- MS in Computer Science or equivalent practical experience.
- Experience deploying ML or optimization models, building ML data pipelines or workflow automation, or working at a ride-hailing or marketplace company.
Pay
$213,000 — $263,000 USD base salary
Tools
Java, C++, Python, TensorFlow, PyTorch, Keras, Gemini, VLMs
AI focus
Develops spatial-temporal anomaly detection models and uses multimodal foundation models to detect, triage, and automatically respond to off-nominal fleet operations.
Model-written summary · the original posting is authoritative