Join Torc's team of Machine Learning Engineers and contribute to developing and deploying end-to-end models for autonomous trucks. Collaborate with perception, prediction, planning, and safety teams to enable safe, efficient, and human-like driving during transportation operations in real-world environments.
Requirements
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or other related technical field with at least 4 years of experience in the field or Master's degree with at least 2 years of experience
- Experience in applying machine learning techniques, such as imitation learning or reinforcement learning, to robotics, autonomous systems, or complex control environments
- Strong programming skills in Python and PyTorch, with experience in coding high-quality production AA code
- Experience in training and evaluating machine learning models using large datasets and adaptive computing environments
Benefits
- Competitive compensation package
- Medical, dental, and vision coverage
- Company-matched retirement savings plan
- Public transportation reimbursement
- Flexible hours and generous paid vacation
- Enterprise-wide holiday closures
- Life insurance