Senior Staff / Principal Machine Learning Engineer - Autonomy Behaviors
Hybrid · Foster City, CA · Full-time · Engineering
$340,000 – $492,000 per year
Posted · Listed from Lever
About the job
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
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AccommodationsIf 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.
Zoox wrote this description; Job Elf found it on Lever. Check details with the employer before you share anything sensitive. Never pay to apply for a job.
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