Senior Staff / Principal Machine Learning Engineer - Autonomy Behaviors
Zoox · Hybrid
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Job details
- Work model
- Hybrid
- Salary
- Not listed by source
- Location
- Foster City, CA
What the role asks for
What you'd do
- Set the technical direction of ML development for the future of our Planner
- Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner
- Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks
- Develop new methods to leverage Zoox’s Foundation Models into the ML Planner
- Provide technical mentorship to the broader group of ML developers at Zoox
- Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments
What they're asking for
- BS, MS, or PhD degree in computer science or related fieldEducation
- Proven track record of technical leadership in large-scale AI organizationsSkill
- Significant experience with training and deploying Deep Learning models to productionSkill
- Fluency in C++ or Fluency in Python with a basic understanding of C++Skill
- Extensive experience with programming and algorithm design-Strong mathematics skills, 10+ years of experienceExperience
- Conference or Journal publications in Machine Learning or Robotics related venuesSkillPreferred
- Prior experience with Prediction and Planning for autonomous vehiclesSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
The Autonomy Behaviors team is responsible for producing our vehicle’s driving trajectory. As a Principal ML Engineer, you will lead the technical development of machine learning algorithms for our next-generation ML Planner. Your impact will range from delivering innovations for immediate milestones to pioneering exploratory projects. You will collaborate closely with teams specializing in Foundation Models, Perception, Simulation, and Safety Validation, in influencing our autonomy stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. In this role, you will: • Set the technical direction of ML development for the future of our Planner • Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner • Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks • Develop new methods to leverage Zoox’s Foundation Models into the ML Planner • Provide technical mentorship to the broader group of ML developers at Zoox • Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments Qualifications • BS, MS, or PhD degree in computer science or related field • Proven track record of technical leadership in large-scale AI organizations • Significant experience with training and deploying Deep Learning models to production • Fluency in C++ or Fluency in Python with a basic understanding of C++ • Extensive experience with programming and algorithm design-Strong mathematics skills, 10+ years of experience Bonus Qualifications • Conference or Journal publications in Machine Learning or Robotics related venues • Prior experience with Prediction and Planning for autonomous vehicles About Zoox Zoox is developing the first ground-up, 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 mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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