Uber Corporate

Uber Corporate

Machine Learning Engineer II - AV Foundation, AV Labs

Sunnyvale, California, USA · Mid · Full-time

Sponsorship not specified$171k-$190kDetected 52 days ago
PythonMachine LearningDeep LearningPyTorchComputer VisionLLMsRoboticsResearchCommunicationCollaboration

About the role

  • Uber is launching AV Labs to accelerate the autonomous technology ecosystem.
  • This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data.
  • You will be an ML engineer in AV Labs conducting frontier research for autonomous vehicles.

Responsibilities

  • We will build platforms that harness scale and real-world complexity to reimagine how the world moves.
  • Design and develop cutting-edge techniques for autonomous vehicle research. - Collaborate closely with engineering teams and product teams across AV Labs. - Publish and present original research at top-tier CV and ML conferences.
  • Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress.
  • We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing).
  • The ideal candidate will formulate research problems, design and evaluate novel modeling approaches, and influence the direction of autonomous vehicles research through strong scientific judgment and execution.
  • You will work cross-functionally with engineers from AV Labs and partner engineering teams.

Compensation

  • For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.
  • The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

Benefits

  • Preferred Qualifications - Experience with autonomous vehicle research. - Hands-on experience in training multimodal LLMs for autonomous vehicles or relevant computer vision systems. -
  • 3D perception & scene understanding, multimodal embedding, diffusion models, gaussian splatting, vision language action models, and world models.
  • You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
  • You will also be eligible for various benefits.

Equal opportunity

  • Uber is proud to be an 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.