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Uber
AI

Senior Machine Learning Engineer - AV Labs

Uber · San Francisco, CA, US · $202k - $224k

Actively hiring Posted 5 months ago

Role overview

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves.

You will be an AI/ML engineer in AV Labs and involved in the development and implementation of the latest machine learning techniques for computer vision and perception use cases. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. You'll be able to collaborate with other engineers across networking, storage, compute, big data and cloud engineering, as well as with partner engineering teams which enables Uber's mission of helping people go anywhere and get anything and earn their way.

Responsibilities

  • Design and deliver software and tools as part of our state-of-the-art Machine Learning platform.
  • Systems architecture design, including management of upstream and downstream dependencies.
  • Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML technology that can stand the test of scale and availability, while reducing operational overhead.
  • Deliver datasets to accelerate ML technologies, sensor data collection, processing, labeling, indexing, etc
  • Participate in periodic on-call rotations and be available for critical issues.
  • Collaborate with platform, product and security engineering teams, and enable successful use of the latest machine learning techniques.

Basic qualifications

  • Minimum 4 years of working experience in the ML/Robotics industry
  • Bachelor degree in computer science, computer engineering or related fields
  • Proficient in Python and Linux
  • Familiar with OpenCV, TensorFlow/PyTorch

Preferred qualifications

  • Master or PhD degree in computer vision or robotics
  • Familiar with C++ Familiar with the Robot Operating System (ROS)

Tags & focus areas

Used for matching and alerts on DevFound
Ai Engineer Machine Learning Computer Vision Robotics Ai
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