Senior Engineering Manager, AV Labs

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA · Sunnyvale, CA
Salary
$267,000–$267,000 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $267k
$131k most similar roles pay here $282k

This role pays more than 91% of similar roles. Most pay $163,250–$232,425 — the shaded band above. At the midpoint, this role pays about $267k versus about $198k for comparable roles.

Based on 239 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 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Senior Engineering Manager, AV Labs

As a Senior Engineering Manager at AV Labs, you will lead a team of machine learning engineers and applied researchers dedicated to developing state-of-the-art AI models that parse urban driving scenarios. Your role involves managing the day-to-day development of advanced autonomy algorithms and ensuring high-fidelity semantic extraction from multi-modal sensor data to enrich our L4 data lake. You will collaborate with technical leadership to make foundational architectural choices, maintain system quality, and ensure low-latency execution at scale. Key responsibilities include fostering a culture of rigorous scientific experimentation, mentoring team members, and aligning ML efforts with broader business goals through cross-functional collaboration. The ideal candidate has extensive experience in applied machine learning, managing high-performing teams, and delivering large-scale AI models. Proficiency in modern AI/ML frameworks like PyTorch and TensorFlow, along with expertise in Python/Linux environments, is essential. Prior AV industry experience and a strong background in guiding teams to process massive datasets are preferred.

What you'll do

  • Lead a team of ML experts, AI modelers, and data scientists in developing state-of-the-art foundation models.
  • Drive daily development of autonomy algorithms and ensure high-fidelity semantic extraction from multi-modal sensor data.
  • Collaborate with technical leadership to make foundational architectural choices for deployed systems.
  • Ensure rigorous scientific experimentation and engineering excellence within the team.
  • Align ML modeling efforts with broader business goals through cross-functional collaboration.

What we're looking for

  • 8+ years of software engineering experience in applied ML or Autonomous Systems.
  • 3+ years of managing high-performing engineering teams, preferably in AI/ML.
  • Proven track record delivering large-scale AI models from conception to production.
  • Deep expertise in modern AI/ML frameworks like PyTorch and TensorFlow.
  • Bachelor's degree in Computer Science or related technical field required.
  • Advanced degree (MS or PhD) preferred in Robotics, Machine Learning, etc.

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