ML Engineer, II - Camera Models

Meet the Team: As a Machine Learning Engineer II – Camera Models, you will help develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision models that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.

Requirements

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience
• Experience developing machine learning or deep learning models for computer vision or perception systems
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
• Experience training and evaluating machine learning models using large datasets and scalable compute environments
• Understanding of modern deep learning architectures used in perception systems, such as CNNs, transformers, or multi-task learning models
• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines
• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems

Benefits

• Paid Time Off
• 401k Matching