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 creating simulation data, supporting model workflows, and collaborating with engineering teams to enhance safety 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 core functionalities
- Create tools for visualization, introspection, and insight extraction from models
- Participate in code reviews and team collaboration
Requirements
- Motivated and able to work independently in a fast-paced environment, navigating problem ambiguity.
- Strong knowledge of machine learning fundamentals.
- Experience in building ML 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: 116,000-170,000 per year
Annual bonus
Equity compensation
Hybrid work environment with in-office presence at least 3 days per week
Ready to Apply?
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