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  3. Senior Machine Learning Engineer, Models and Validation
Aurora logo

Senior Machine Learning Engineer, Models and Validation

Aurora
Mountain View, California
Full Time
Posted December 18, 2025
$139k - $223k
Not Specified
Apply Now

Application opens on company website

Job Description

The Machine Learning Engineer - Models and Validation at Aurora is responsible for developing and evaluating machine learning models for self-driving vehicle systems, including motion planning and simulation data augmentation, while collaborating with various engineering teams to ensure robust deployment and performance.

Key Responsibilities

  • Build and evaluate learned models for the Motion Planner in large-scale simulations
  • Develop generative models to augment simulation data and create realistic scenarios
  • Support ML model development workflow, including dataset management, label quality, and feature processing
  • Collaborate with Behavior Planning and Safety Engineering teams to understand requirements and inform technical approaches
  • Work with Simulation teams to deploy models and add necessary core functionalities
  • Create tools for visualizing, introspecting, and extracting insights from models
  • Participate in code reviews and contribute ideas within a collaborative environment

Requirements

  • Motivated and able to work independently in a fast-paced environment, navigating problem ambiguity.
  • Strong knowledge of machine learning fundamentals.
  • Experience in building machine learning models, including data preparation, training, model design, and evaluation.
  • Robotics-related domain knowledge.
  • Proficiency with PyTorch, Python, numpy, and common data science libraries.
  • At least 2 years of industry experience in a related field.

Benefits & Perks

Base salary range: $139,000 - $223,000 per year
Annual bonus
Equity compensation
Hybrid work environment with in-office presence at least 3 days per week

Ready to Apply?

Join Aurora and make an impact in renewable energy

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