Waymo
Staff Machine Learning Engineer – VLM/LLM
$238K–$302K
Mountain View, CA, USA +5 · Staff · Full-time · Posted Feb 6, 2026
- Location
- Mountain View, CA, USA
San Francisco, CA, USA
New York City, NY, USA
Mountain View, California, United States
New York, New York, United States
San Francisco, California, United States - Experience
- 5+ years in ML engineering and applied deep learning.
- Education
- Master’s or PhD in Computer Science or a similar technical field, or equivalent practical experience.
About the job
Leads development of evaluation systems and benchmarks for Waymo Foundation Models and builds large-scale data and evaluation pipelines for embodied AI agents.
What you'll do
- Lead end-to-end evaluation systems and benchmarks across pretraining, supervised fine-tuning, and reinforcement learning.
- Implement and extend large-scale data and evaluation pipelines.
- Collaborate across organizations to bring innovative technology into production.
What they ask for
- Master’s or PhD in Computer Science or a similar technical field, or equivalent practical experience.
- 5+ years of ML engineering and applied deep learning experience, with a strong portfolio of shipped products or publications.
- Experience with large-scale distributed systems.
- Proficient programming skills, such as Python or C/C++; strong analytical and debugging skills.
Nice to have
- ML infrastructure experience training, evaluating, and deploying models at scale.
- Deep learning experience, especially generative models such as LLMs/VLMs, and/or reinforcement learning; in-depth knowledge of an ML framework such as PyTorch, JAX, or TensorFlow.
Pay
$238,000 — $302,000 USD (base salary)
Tools
Python, C/C++, LLMs/VLMs, Pytorch, JAX, Tensorflow
AI focus
Develop and evaluate Foundation Models and embodied AI agents, including work spanning pretraining, supervised fine-tuning, reinforcement learning, generative models, and safety and realism evaluation.
Model-written summary · the original posting is authoritative