Senior Machine Learning Engineer - AV Foundation, AV Labs

Uber

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$202,000–$202,000 / yr
Posted
15 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k
This role $202k
$161k most similar roles pay here $276k

This role pays less than 63% of similar roles. Most pay $196,312–$249,750 — the shaded band above. At the midpoint, this role pays about $202k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

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.

Uber currently has 289 open roles on FindRole.

Listed pay typically runs $209,000–$209,000 across 76 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer - AV Foundation, AV Labs

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As a Senior Machine Learning Engineer at AV Labs in Sunnyvale, you will join a high-velocity team focused on collecting and analyzing real-world driving data for autonomous vehicles. Your role involves designing and developing advanced techniques to address the most challenging problems in AV research, including long-tail driving scenarios. You will lead the entire model lifecycle from data collection through deployment, collaborating closely with cross-functional teams across AV Labs and partner engineering groups. Key responsibilities include conducting frontier research, providing technical leadership through mentorship and design reviews, and publishing original work at top-tier conferences. The ideal candidate has a PhD or equivalent industry experience in Computer Science or Robotics, proficiency in Python and deep learning frameworks like PyTorch, and a track record of impactful contributions to the field of autonomous vehicles and computer vision.

Skills

Python PyTorch TensorFlow CVPR ICCV ICLR NeurIPS Kubernetes AWS CI/CD Docker PostgreSQL

What you'll do

  • Design and develop advanced techniques for autonomous vehicle research.
  • Lead end-to-end model lifecycle from data collection to deployment and monitoring.
  • Provide technical leadership through mentorship and design reviews.
  • Influence the direction of autonomous vehicles research with strong scientific judgment.
  • Publish original research at top-tier computer vision and machine learning conferences.

What we're looking for

  • PhD or MS with 3+ years of industry experience in Computer Science, Robotics, or a related field.
  • Strong background in autonomous vehicles and computer vision research.
  • Expertise in connecting cutting-edge modeling techniques to scalable and reliable AV systems.
  • Demonstrated technical contributions through publications at top ML and CV conferences.
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
  • Experience leading technical projects through mentorship, design reviews, and cross-team collaboration.

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