Engineering Manager II, Computer Vision - Applied AI

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA · San Francisco, CA
Salary
$232,000–$232,000 / yr
Posted
8 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k
This role $232k
$161k most similar roles pay here $265k

This role pays more than 61% of similar roles. Most pay $174,800–$246,712 — the shaded band above. At the midpoint, this role pays about $232k versus about $211k 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 95 open roles on FindRole.

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

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At a glance

TL;DR · Engineering Manager II, Computer Vision - Applied AI

As an Engineering Manager II specializing in Computer Vision at Uber’s Applied AI division, you will lead a team of engineers developing advanced vision systems for large-scale applications like document intelligence and onboarding automation. Your role involves setting long-term technical strategies that align with business goals, collaborating closely with Product, ML Infrastructure, and other teams to drive innovation and deliver measurable impact. You will manage the execution of complex projects, mentor your team, and ensure they maintain high engineering standards while delivering reliable AI solutions. This position requires expertise in machine learning systems, distributed production environments, and a strong background in computer vision techniques such as object detection and document layout understanding.

What you'll do

  • Lead and manage a team developing state-of-the-art vision and multimodal systems for production applications.
  • Develop technical strategies aligning with business objectives and translate complex requirements into multi-quarter roadmaps.
  • Ensure timely delivery of projects through effective delegation and high engineering standards maintenance.
  • Mentor and develop deep learning engineers, fostering continuous learning and operational excellence.
  • Collaborate cross-functionally to drive technical innovation and deliver measurable impact across business units.
  • Shape long-term technical direction for computer vision initiatives, elevating engineering standards and driving business impact.

What we're looking for

  • Over 12 years of industry experience including at least 3 years leading engineering teams in large-scale production environments.
  • Proven ability to deliver sustained business impact through strong execution and organizational leadership over multiple quarters.
  • Experience translating complex product requirements into clear technical roadmaps and platform architectures for multi-year strategies.
  • Strong track record of driving timely execution, empowering technical leads, and aligning cross-team priorities effectively.
  • Deep expertise in computer vision techniques such as object detection, segmentation, OCR, document layout understanding, and point cloud processing.

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