Staff Machine Learning Engineer

Uber

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Posted
84 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

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How this pay compares to similar roles

Similar $230k
$173k most similar roles pay here $290k

This listing doesn't post a salary. Most similar roles pay $202,412–$256,950.

Based on 240 similar postings.

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About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

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TL;DR · Staff Machine Learning Engineer

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Staff Machine Learning Engineer - AV Labs joins the AV Labs team to advance autonomous technology through Physical AI. This role involves setting the technical roadmap and leading the delivery of state-of-the-art machine learning systems to extract high-fidelity semantic meaning from complex urban edge cases. The engineer will design large-scale ML systems, oversee the implementation of foundation models for physical world interaction, and define requirements for auto-labeling systems. Key responsibilities include mentoring senior engineers and bridging technical gaps between engineering units. The role requires expert proficiency in Python, Linux environments, and PyTorch, with preferred experience in C++, CUDA, and Robot Operating System (ROS). The work focuses on solving the challenge of unlocking long-tail driving data to improve deep scene understanding and causal modeling of ego vehicle behavior within a massive data lake.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

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Skills

Machine Learning Python PyTorch C++ CUDA Linux ROS Computer Vision Foundation Models Autonomous Systems Robotics System Design Data Mining

What you'll do

  • Develop autonomy algorithms and foundation models to extract semantic meaning from complex urban edge cases.
  • Design and oversee the implementation of large-scale machine learning systems integrated with upstream sensor data.
  • Set the technical roadmap for advanced machine learning techniques including deep scene understanding and causal modeling.
  • Define requirements for high-quality datasets and automated labeling systems to evolve ML infrastructure.
  • Mentor senior engineers and influence the technical direction across multiple engineering teams.
  • Identify next-generation challenges in autonomous vehicles and design architectural foundations to solve them.
  • Act as a bridge between AV Labs and other Uber units to ensure technology is deployed at scale.

What we're looking for

  • Bachelor's degree in Computer Science, Computer Engineering, or related fields.
  • PhD degree in Computer Vision, Robotics, or Machine Learning with a focus on Autonomous Driving.
  • 8+ years of experience in the ML, Robotics, or Autonomous Systems industry.
  • Proven experience leading large-scale technical projects from conception to production.
  • Expert-level proficiency in Python and Linux environments.
  • Deep expertise in modern AI/ML frameworks such as PyTorch.
  • Experience with C++, CUDA, and high-performance system optimization.
  • Understanding of the Robot Operating System (ROS) or similar autonomous middleware.

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