Machine Learning Engineer, Models and Validation
$139k/y-$223k/y
Aurora2 days ago
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HybridFull-timeEntry
Summary
Aurora is seeking a Machine Learning Engineer, Models and Validation to join their team in Mountain View, CA. The role involves building learned models for the Motion Planner and developing generative models for simulation data.
About the Role
As a Machine Learning Engineer, you will build models to develop and evaluate the Motion Planner in large-scale simulations, create generative models for training data, manage datasets, and collaborate with various teams to enhance model deployment and functionality.
About You
Required:
- Strong knowledge of ML fundamentals.
- ML model building experience including data preparation, training, model design, and 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.
Preferred:
- Experience with Motion Planner development.
- Experience deploying ML models in production environments.
- Project work or publications in top-tier conferences or workshops.
Benefits
- Annual bonus eligibility based on company performance.
- Equity compensation.
- Comprehensive benefits package.
Aurora
Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, more reliable, and more efficient than ever before. The Aurora Driver is a self-driving system, initially designed to operate freight-hauling trucks. Aurora is partnering with industry leaders across the freight and logistics ecosystem, including FedEx, Volvo Trucks, PACCAR, Uber Freight, Werner, Schneider, and Ryder. For Aurora’s latest news, visit aurora.tech.
Mountain View, CA