Waymo
Staff Technical Lead Manager, Simulation, Machine Learning
$238K–$302K
New York, NY, USA +5 · Staff · Full-time · Posted Dec 18, 2025
- Location
- New York, NY, USA
Mountain View, CA, USA
San Francisco, CA, USA
Mountain View, California, United States
New York, New York, United States
San Francisco, California, United States - Experience
- 5+ years leading engineering teams of 5–15 people; 7+ years of hands-on machine learning project experience; 7+ years building and deploying machine learning products in production.
- Education
- B.S. in Computer Science, Robotics, Machine Learning, a similar technical field, or equivalent practical experience.
About the job
Leads an applied machine learning team building and deploying models and tools to understand, evaluate, and improve autonomous vehicle behavior.
What you'll do
- Lead development of deep learning and generative AI models for vehicle behavior analysis, evaluation, and anomaly detection.
- Oversee production and optimization of fleet-assessment models and automate high-volume workflows, including rider-feedback analysis.
- Set technical direction and work with cross-functional teams to define requirements and deliver strategic initiatives.
What they ask for
- B.S. in Computer Science, Robotics, Machine Learning, a similar technical field, or equivalent practical experience.
- 5+ years leading engineering teams of 5–15 people.
- 7+ years of hands-on machine learning project experience and 7+ years building and deploying machine learning products in production.
- Experience with Foundational Models, VLM, or Deep Learning; strong coding experience in C++ and/or Python.
Nice to have
- M.S. or Ph.D. in Computer Science or a related quantitative field, specializing in machine learning.
- Experience with Transformers, Gen AI LLM/VLM, MLOps, evaluation and validation, model optimization, or large-scale data processing.
Pay
$238,000 — $302,000 USD (base salary)
Tools
C++, Python, TensorFlow, PyTorch, Hugging Face's transformers, Foundational Models, VLM, Deep Learning
AI focus
Uses deep learning and Gen AI, including LLM/VLM solutions, for autonomous vehicle behavior understanding, evaluation, anomaly detection, and rider-feedback analysis.
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