Zoox
Machine Learning Engineer - Vision Foundation Models
$254K–$305K
Foster City, CA +3 · Hybrid · Full-time · Posted Oct 27, 2026
- Location
- Foster City, CA
Boston, MA
Seattle, WA
San Diego, CA - Experience
- 6+ years of industry experience; PhD with 3+ years.
- Education
- MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field.
About the job
Designs and deploys vision models that interpret passengers, objects, and behaviors inside autonomous vehicles, from data curation through evaluation and production deployment.
What you'll do
- Own a model or feature end to end, including data curation, labeling guidelines, training, evaluation, and deployment.
- Set model quality through rigorous evaluation and error analysis, while meeting real-time and compute constraints.
- Partner with product, operations, safety, and vehicle software teams to define model specifications, metrics, and validation plans.
What they ask for
- MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field.
- Deep computer vision and deep learning expertise for image and video understanding, including detection, pose and action recognition, and fine-grained classification.
- Strong proficiency in Python and PyTorch.
- Experience with vision-language models or foundation-model backbones, auto-labeling or synthetic data, and the full ML lifecycle on real-world data.
Nice to have
- In-cabin or occupant monitoring experience, ideally with multi-camera or fisheye imagery and low-light conditions.
- Experience deploying models to real-time, resource-constrained systems using TensorRT / ONNX or similar; C++ proficiency.
Pay
USD 254,000–305,000 per-year-salary (base salary)
Tools
Python, PyTorch, DINOv3, TensorRT, ONNX, C++
AI focus
Develops vision and foundation-model-based systems for in-vehicle passenger, object, and behavior understanding, including detection, pose and action recognition, and fine-grained classification.
Model-written summary · the original posting is authoritative