Machine Learning Engineer - Behavior Models for Road Users
Zoox · Autonomy Software
- Location
- Foster City, CA
- Metro
- San Francisco Bay Area
- Workplace
- Hybrid
- Level
- Unspecified
- Type
- Full-time
- Pay
- $199K–$283K/yr (published by employer)
- Posted
- 3 months ago
- Source
- Lever
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What the posting covers
About the company
This role in the Offline Driving Intelligence team is responsible for developing/learning behavior models for road users such as cars, bicycles, and pedestrians. These agents populate Zoox's simulations and must be indistinguishable from real road users, yet…
In this role, you will...
Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like driving agents. Work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress,…
Qualifications
PhD degree in computer science or related field or master's degree and 3+ years of relevant professional experience Experience in one of the following: Planning, Prediction, Reinforcement Learning, Imitation Learning, generative modeling (diffusion,…
Bonus Qualifications
Top tier publications (NeurIPS, ICML, CVPR) Experience with JAX There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the…
Excerpts only. The employer’s page has the complete posting.