Uber Corporate
Principal Machine Learning Engineer - Autonomy
Sunnyvale, California, USA · Principal · Full-time
Sponsorship not specified$302k-$336kDetected 94 days ago
PythonC++LinuxMachine LearningDeep LearningPyTorchA/B TestingRoboticsLeadershipCollaborationMentoring
About the role
- You will set the technical direction for the development and implementation of state-of-the-art machine learning across the autonomy pipeline.
- You aren't just solving known problems; you are identifying the next generation of challenges in AV, designing the architectural foundations to solve them, and raising the bar for technical excellence across the entire engineering organization.
- This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data.
Responsibilities
- Lead the strategy for Autonomous Driving Algorithm Development, ensuring our stack is robust, safe, and capable of handling the most complex urban edge cases -
- Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress.
- We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners.
Compensation
- The base salary range for this role is USD$302,000 per year - USD$336,000 per year.
Benefits
- Provide the overarching technical vision for our multi-modal autonomy systems.
- You will also be eligible for various benefits.
- For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
Equal opportunity
- Uber is proud to be an Equal Opportunity employer.
- Equal Opportunity employer.
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This listing is sourced directly from Uber Corporate's careers page and normalized into a canonical job model.