The Onboard Behavior Model Architecture team is responsible for developing deep learning models that leverage data and compute at large scale to train driving models. We learn and predict behaviors from large scale expert data and large scale reinforcement learning to produce a ML driver that is safe comfortable and completes the this role you will collaborate closely with the Onboard Perception Cost Planner Simulation Validation Data Science Systems Engineering QA and ML Infra teams.
In this role you will:
Lead a Team: Manage mentor and grow a team of individual contributors fostering a culture of innovation and continuous improvement.
Develop Strategy: Develop and organize our overall strategy for Onboard Behavior ML Models for generating driving plans for our autonomous vehicle. You will interface with multiple partner teams to identify opportunities for model improvements within their problem area. Youll be setting the short and long term technical direction for the team and collaborate on broader company-wide directions.
Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference.
Monitor Performance: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement.
Manage Resources: Manage the allocation of resources within the team ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed.
Qualifications
Expertise with Reinforcement Learning and Machine Learning for at least one of these areas: Planning LLMs VLAs/VLMs recommendation systems.
Extensive experience with programming and algorithm design strong mathematics skills.
MS or PhD degree in computer science or related field.
5 years of experience with production Machine Learning pipelines with at least 3 years in a leadership or management role.
Bonus Qualifications
Conference or Journal publications in Machine Learning or Robotics related venues.
Prior experience working with autonomous vehicles or robotics diffusion models large scale training.
$277000 - $349000 a year
Base Salary Range
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 candidates 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Manager
The Onboard Behavior Model Architecture team is responsible for developing deep learning models that leverage data and compute at large scale to train driving models. We learn and predict behaviors from large scale expert data and large scale reinforcement learning to produce a ML driver that is saf...
The Onboard Behavior Model Architecture team is responsible for developing deep learning models that leverage data and compute at large scale to train driving models. We learn and predict behaviors from large scale expert data and large scale reinforcement learning to produce a ML driver that is safe comfortable and completes the this role you will collaborate closely with the Onboard Perception Cost Planner Simulation Validation Data Science Systems Engineering QA and ML Infra teams.
In this role you will:
Lead a Team: Manage mentor and grow a team of individual contributors fostering a culture of innovation and continuous improvement.
Develop Strategy: Develop and organize our overall strategy for Onboard Behavior ML Models for generating driving plans for our autonomous vehicle. You will interface with multiple partner teams to identify opportunities for model improvements within their problem area. Youll be setting the short and long term technical direction for the team and collaborate on broader company-wide directions.
Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference.
Monitor Performance: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement.
Manage Resources: Manage the allocation of resources within the team ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed.
Qualifications
Expertise with Reinforcement Learning and Machine Learning for at least one of these areas: Planning LLMs VLAs/VLMs recommendation systems.
Extensive experience with programming and algorithm design strong mathematics skills.
MS or PhD degree in computer science or related field.
5 years of experience with production Machine Learning pipelines with at least 3 years in a leadership or management role.
Bonus Qualifications
Conference or Journal publications in Machine Learning or Robotics related venues.
Prior experience working with autonomous vehicles or robotics diffusion models large scale training.
$277000 - $349000 a year
Base Salary Range
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 candidates 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
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