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Machine Learning Engineer, Models and Validation

Aurora

$139,000 - $223,000
Aug 26, 2025
Mountain View, CA, US
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Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Machine Learning Engineer - Models and Validation.

Requirements

  • Strong knowledge of ML fundamentals.
  • ML model building experience (data preparation, training, model design, evaluation)
  • Robotics-related domain knowledge.
  • Strong knowledge of PyTorch, Python, numpy and common data science libraries.
  • 2+ years of industry experience in a related field.
  • Experience with Motion Planner development.
  • Experience deploying ML models in production environments.

Responsibilities

  • Build learned models used to develop and evaluate the Motion Planner in large scale simulations on complex scenarios.
  • Build novel generative models to augment our simulation data and create unseen realistic and plausible scenarios for training and evaluating the Motion Planner and other sub-systems.
  • Support the various parts of the ML model development workflow, including dataset management, label quality, feature processing pipelines, model training and evaluation infrastructure.
  • Work closely with Behavior Planning and Safety Engineering teams to understand their requirements and inform our technical approach.
  • Work with the Behavior Simulation and Perception Simulation teams to add any necessary core functionality required to deploy our models.
  • Develop tools to visualize, introspect and extract insights from running our models.
  • Support your team with code reviews and ideas as part of a collaborative environment.

Other

  • Motivated and can work independently in a fast paced environment, navigating problem ambiguity.
  • Project work, or publications in top-tier conferences or workshops.
  • At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values.
  • We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
  • Commitment to inclusion