Machine Learning Engineer - Behavior Models for Road Users
TECHNICAL STACK · 4 TAGS
OVERVIEW
IN THIS ROLE, YOU WILL...
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Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like driving agents.
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Work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism.
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Build generative behavior models (e.g. autoregressive, diffusion) that are conditionable on scenario intent — "cut off the ego vehicle," "jaywalk here" — for targeted stress-testing.
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Leverage our compute, infrastructure and large corpus of data to push boundaries of the field.
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Develop metrics and tools to analyze errors and understand improvements of our systems.
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Collaborate with engineers on Perception, Planning, Simulation, and Validation to solve the overall Autonomous Driving problem.
QUALIFICATIONS
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PhD degree in computer science or related field or master's degree and 3+ years of relevant professional experience
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Experience in one of the following: Planning, Prediction, Reinforcement Learning, Imitation Learning, generative modeling (diffusion, autoregressive models)
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Experience with training and deploying transformer-based model architectures
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Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
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Fluency in Python ML frameworks and a basic understanding of C++
BONUS QUALIFICATIONS
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Top tier publications (NeurIPS, ICML, CVPR)
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Experience with JAX
REQUIREMENTS
Description
- 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, autoregressive models)
- Experience with training and deploying transformer-based model architectures
- Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
- Fluency in Python ML frameworks and a basic understanding of C++ 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 compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
QUESTIONS AND ANSWERS
- How much does the Machine Learning Engineer - Behavior Models for Road Users at Zoox pay?
- The posting lists a range of $199K–$283K per year. Ranges reflect what Zoox publicly declared on the source posting.
- Where is this Machine Learning Engineer - Behavior Models for Road Users role based?
- The role is based in Foster City, CA.
- What experience does Zoox expect for this role?
- The posting is tagged as a executive-level role, typically 10+ years of experience. Check the requirements section for specifics.
- Where is Zoox headquartered?
- Zoox is headquartered in Foster City, USA.
- How was this posting sourced?
- This role was pulled directly from Zoox's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.