Manager Behavior Foundation Model
Manager Behavior Foundation Model
Posted on :
11-04-2025
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1 Vacancy
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Monthly Salary
$ 230000 - 332000
Vacancy
1 Vacancy
Posted on :
11-04-2025
Job Description
The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data applying them both onvehicle to influence driving behavior and offvehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception Simulation and Systems Engineering teams to accelerate our ability to validate our driving performance.
As an Engineering Manager for the Behavior Foundation Model team you will lead the team responsible for advancing and scaling foundation models that understand and generate driving behaviors. This team collaborates across Perception Planning SImulation Data Science Systems Engineering Validation QA and ML Infra to leverage the power of generative AI for applications including: scene encoding for learned driving trajectories automated driving quality assessment estimating scenario similarity synthetic scenario creation and simulated agent behavior. There are also emergent applications building on these technologies that will expand over time.
In this role you will:
- Team Leadership: Manage mentor and grow a team of managers and technical leads fostering a culture of innovation and continuous improvement.
- Strategy Development: Develop and organize our overall strategy for Foundation Models as they relate to driving behavior and scenario understanding. You will interface with multiple partner teams to identify opportunities for Foundation Model adoption within their problem area. Youll be setting the short and long term technical direction for the team and collaborate on the broader companywide directions.
- Technical Oversight: Provide technical guidance and leadership in the design and development of training large multimodal foundation models and work with partner teams on ensuring their efficient inference.
- Performance Monitoring: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of optimization strategies and drive continuous improvement.
- Resource Management: 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:
- Fluency in Python
- Extensive experience with programming and algorithm design strong mathematics skills
- BS MS or PhD degree in computer science or related field
- 5 years of experience with production Machine Learning pipelines with at least 2 years in a leadership or management role.
- Expertise with some or all of Large Language Models Diffusion Reinforcement Learning and ML for Planning
Bonus Qualifications
- Conference or Journal publications in Machine Learning or Robotics related venues
- Prior experience working with autonomous vehicles or robotics
Compensation and Benefits
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. The salary range for this position is $230000 to $332000. A signon bonus may be offered as part of the compensation package. 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 longterm care insurance longterm and shortterm disability insurance and life insurance.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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