Machine Learning Engineer II

Uber

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Posted
9 days ago
Nearby
99+ roles within 25 mi

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Similar $217k
$161k most similar roles pay here $269k

This listing doesn't post a salary. Most similar roles pay $183,675–$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 · Machine Learning Engineer II

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Join AV Labs as a Machine Learning Engineer II, where you will contribute to the cutting-edge field of Physical AI by developing advanced autonomy algorithms that enhance scene understanding from complex urban driving data. Your daily tasks include crafting robust machine learning models, designing scalable systems for sensor integration, and optimizing datasets through sophisticated processing techniques. You will collaborate closely with cross-functional teams to deploy these innovations in production environments, ensuring they meet the highest standards of technical excellence. Ideal candidates possess 2+ years of experience in ML or robotics, proficiency in Python and Linux, and familiarity with frameworks like PyTorch. Experience in autonomous driving and deploying models in safety-critical systems is a plus, as is expertise in Computer Vision or Robotics at an advanced degree level.

Skills

Python Linux PyTorch AWS Kubernetes Docker CI/CD PostgreSQL TensorFlow C++ CUDA ROS CV AutoML DataLake Prometheus Grafana

What you'll do

  • Develop algorithms to extract semantic meaning from complex urban edge cases for L4 data lake enrichment.
  • Implement scalable ML systems managing upstream sensor dependencies.
  • Optimize datasets by advancing sensor data collection, processing, and auto-labeling techniques.
  • Identify and solve complex edge cases with robust algorithmic solutions.
  • Set high technical standards for autonomy algorithms and models.

What we're looking for

  • 2+ years experience in ML/Robotics industry
  • Bachelor’s degree in CS, CE, or related field
  • Proficient in Python and Linux environments
  • Experience deploying ML models in safety-critical systems
  • Familiarity with modern AI/ML frameworks like PyTorch
  • Master’s or PhD in Computer Vision, Robotics, or ML preferred

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