Senior Machine Learning Engineer

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CA
Posted
6 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $219k
$161k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $187,300–$249,750.

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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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At a glance

TL;DR · Senior Machine Learning Engineer

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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 machine learning technologies into production environments. You will work closely with platform, product, and security engineering teams to ensure robust solutions that meet high technical standards. The ideal candidate has 4+ years of experience in the autonomous driving domain, proficiency in Python and Linux, familiarity with frameworks like PyTorch, and a strong background in computer vision or robotics. This role demands expertise in deploying ML models in safety-critical systems and a deep understanding of sensor data processing for high-fidelity semantic extraction.

Skills

Python PyTorch Linux C++ Autonomous Driving ML Model Deployment High Performance Computing Data Mining Deep Scene Understanding CI/CD

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
  • Proficient in Python, Linux, and modern AI/ML frameworks like PyTorch
  • Experience deploying ML models in safety-critical systems
  • Master’s or PhD in Computer Vision, Robotics, or Machine Learning
  • Familiarity with C++ and high-performance computing

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