SeniorStaff ML Engineer - Foundation Models Generative Driving Scenarios
SeniorStaff ML Engineer - Foundation Models Generative Driving Scenarios
Posted on :
08-04-2025
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1 Vacancy
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Monthly Salary
$ 221000 - 319000
Vacancy
1 Vacancy
Posted on :
08-04-2025
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 engineer working on Foundation Models and Generative Driving Scenarios you will be responsible for developing advanced ML models that can serve as the foundation for various prediction and generation tasks within our autonomous driving systems.
In this role you will:
- You will build multimodal foundation models that can be used as the backbone for a variety of ML tasks within the autonomous driving domain.
- You will develop new algorithms to apply these foundation models to generate realistic and diverse driving scenarios for our offline simulation and validation systems improving the fidelity and diversity of our testing environment.
- You will leverage our largescale machine learning infrastructure to discover new solutions and push the boundaries of the field.
- You will collaborate with engineers on Perception Planning and Simulation to solve the overall Autonomous Driving problem in complex urban environments.
Qualifications
- BS MS or PhD degree in computer science or related field
- Experience with training and deploying Deep Learning models
- Experience with production Machine Learning pipelines: dataset creation training frameworks metrics pipelines
- Fluency in C or Fluency in Python with a basic understanding of C
- Extensive experience with programming and algorithm design
- Strong mathematics skills
Bonus Qualifications
- Conference or Journal publications in Machine Learning or Robotics related venues
- Prior experience with Prediction and/or autonomous vehicles or robotics in general
- Experience with training / finetuning multimodal foundation models
- Experience with training and evaluating generative models
- Experience with Reinforcement Learning
Compensation
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. The salary will range from$221000 to $319000. A signon bonus may be part of a compensation package. Compensation will vary based on geographic location jobrelated knowledge skills and experience.
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.
About Zoox
Zoox is developing the first groundup fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobilityasaservice in urban environments. Were looking for top talent that shares our passion and wants to be part of a fastmoving and highly executionoriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter.
A Final Note:
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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