Machine Learning Engineer II

Job Summary

A company is looking for a Machine Learning Engineer II.

Key Responsibilities

• Develop and train machine learning models for acquired behavior systems using techniques like behavior cloning and reinforcement learning
• Implement production-quality code to support training, evaluation, and inference of models within the autonomy stack
• Analyze model performance, identify failure modes, and propose improvements to enhance robustness across various scenarios

Required Qualifications

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with at least 4 years of experience, or a Master's degree with at least 2 years of experience
• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling in autonomous systems or complex control environments
• Strong programming skills in Python and PyTorch, with experience in production-quality machine learning coding
• Experience training and evaluating machine learning models using large datasets and adaptive computing environments
• Understanding of machine learning architectures used in autonomous driving systems, such as transformers and graphical neural networks