Remote ML Engineer - End-to-End Autonomy (Perception)

Remote - US, Ann Arbor, MI, Montreal, Canada, Remote - Canada Meet the Team As a Machine Learning Engineer II –End-to-End, you will help develop and deployEnd-to-Endmodels that powerbothperceptionanddecision-making for autonomous trucks. Working closely with teams acrossperception, prediction, planning, and safety, you will contribute toEnd-to-End modelsthat enable safe, efficient, and human-like driving in real-world freight operations. This role focuses on building,validating, and improving machine learning models and infrastructure that supportEnd-to-Endsystems within the autonomy stack. WhatYou'llDo Develop and train machine learning models forEnd-to-Endpercetionandplanning, including approaches such as imitation learning and reinforcement learning. Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack. Analyze model performance,identifyfailure modes, and propose improvements to increase robustness and generalization across scenarios. Contribute tomodel training pipelines and data workflows, curating datasets from simulation, fleet logs, and on-vehicle data. Collaborate with simulation, validation, and autonomy engineering teams to test and evaluateEnd-to-Endmodels across diverse driving environments. HelpintegrateEnd-to-Endmodels into simulation and testing workflows, enabling faster iteration and more comprehensive validation. Support the development of tooling and infrastructure thatimproveexperimentation speed, reproducibility, and model iteration. Contribute to technical discussions around model architecture and training strategies within the team. WhatYou'llNeed to Succeed Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or aMaster'sdegree with 2+ years of experience. Experience applying machine learning techniques such ascomputer vision,imitation learning,orreinforcement learning,torobotics, autonomous systems, or complex control environments. Strong programming skills in Python andPyTorch, with experience writing production-quality ML code. Experience training and evaluating machine learning models using large datasets and scalable compute environments. Understanding of ML architectures used inEnd-to-Endsystems, such asBEV models,Transformers,VLA,ordiffusionmodels. Experience debugging model behavior, analyzing performance metrics, anditerating ontraining pipelines. Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. Bonus Points! Experience working in autonomous driving, robotics, or simulation-based training environments. Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray). Experience withVLA or Neural Rendering. Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. Experience deploying ML models into production or real-world robotics systems. Hiring Range for Job Opening US Pay Range $153,200 - $183,300 USD Job ID: 102514 Create a Job Alert Interested in building your career at Torc Robotics? Get future opportunities sent straight to your email. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Country * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you local to Montreal, Canada? * Select... How did you first hear about this job? Please list the site, event, or person that referred you. * What is your availability or desired start date? * What are your salary expectations? * Are you legally authorized to work in Canada for TORC Robotics? * Select... 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