Senior Machine Learning Engineer – AV Labs

Uber

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CA
Salary: $202,000–$202,000 / yr
Posted: 11 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k

This role $202k

$171k most similar roles pay here $272k

This role pays less than 61% of similar roles. Most pay $183,752–$259,212 — the shaded band above. At the midpoint, this role pays about $202k versus about $221k 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 · Senior Machine Learning Engineer – AV Labs

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As a Senior Machine Learning Engineer at AV Labs in Sunnyvale, you will lead the development of advanced autonomy algorithms and models to enhance semantic understanding from complex urban driving data. Your responsibilities include designing scalable ML systems, optimizing datasets for efficient auto-labeling, and collaborating with cross-functional teams to deploy cutting-edge machine learning techniques into production environments. You will work closely with platform, product, and security engineering teams to ensure robust solutions that meet the high standards of safety-critical physical systems in autonomous driving. Proficiency in Python, Linux, PyTorch, and C++ is essential, along with experience in high-performance computing and a strong background in Computer Vision or Robotics.

Skills

Python PyTorch Linux C++ Autonomous Driving ML Model Deployment High Performance Computing Data Mining Deep Scene Understanding Causal Modeling Sensor Data Processing Auto-Labeling Scalable ML Systems Technical Leadership Cross-Functional Collaboration

What you'll do

Lead development of autonomy algorithms for complex urban edge cases to enrich L4 data lake.
Design scalable ML systems managing upstream sensor dependencies.
Deliver high-quality datasets through advanced sensor data collection and auto-labeling.
Architect robust solutions for deploying ML technologies in production environments.
Set technical excellence standards by identifying and solving complex algorithmic challenges.

What we're looking for

4+ years experience in ML/Robotics industry
Bachelor’s/Master’s/PhD in CS, CE, CV, Robotics, or ML
Proficient in Python and Linux environments
Experience deploying ML models in safety-critical systems
Familiarity with PyTorch and C++
Expertise in autonomous driving domain
Strong background in high-performance computing

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