Senior, Machine Learning Engineer - End-to-End
Torc Robotics8 days ago
Base Salary
$226k - $272k/yr
Responsibilities
- Own the development and delivery of end-to-end machine learning models for autonomous driving.
- Map multimodal sensor inputs, including camera, LiDAR, radar, and maps, to driving-relevant outputs.
- Train and evaluate models on fleet logs, simulation data, synthetic data, and distributed compute environments.
- Analyze model performance and failure modes to improve robustness, generalization, and model quality.
- Design training pipelines, data workflows, evaluation strategies, and experimentation tooling.
- Contribute to model architecture and training decisions involving imitation learning, reinforcement learning, transformers, BEV models, VLA/VLM approaches, and diffusion models.
- Integrate end-to-end models into simulation and on-vehicle systems for closed-loop validation.
- Collaborate with perception, prediction, planning, and simulation teams across the autonomy stack.
- Mentor junior engineers and contribute to technical discussions and team best practices.
Requirements
- Bachelor’s degree with 6+ years, Master’s degree with 3+ years, or PhD with 1+ years of experience in machine learning, robotics, computer science, or a related field.
- Track record of publications in top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, or CoRL.
- Experience developing and deploying machine learning models for autonomous systems, robotics, or complex decision-making environments.
- Strong Python and PyTorch programming skills, including production-quality machine learning code.
- Experience training and evaluating models on large-scale datasets using distributed compute environments.
- Understanding of end-to-end machine learning architectures, including transformers, BEV models, VLA/VLM approaches, or diffusion models.
- Ability to debug model behavior, analyze performance metrics, and drive iterative improvements.
- Experience contributing to or influencing model architecture and training strategies.
- Ability to work cross-functionally and integrate machine learning systems into larger autonomy pipelines.
- Experience with end-to-end or mid-to-end models for autonomous driving or robotics is preferred.
- Experience with vision-language models, vision-language-action systems, closed-loop simulation, reinforcement learning, imitation learning, or distributed training frameworks such as Ray is preferred.
- Understanding of vehicle dynamics, motion planning, or multi-agent systems is preferred.
Benefits
- Hybrid office work is available in Ann Arbor, Michigan, or the role may be remote within the United States.
- Competitive compensation package with bonus and stock options.
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible scheduling and generous paid vacation available immediately after the start date.
- Company-wide holiday office closures.
- AD&D and life insurance.
Categories
ML EngineeringRobotics
About Torc Robotics
Torc Robotics, headquartered in Blacksburg, Virginia, offers a complete autonomous software solution for the trucking/freight industry. Torc was acquired by Daimler – the largest heavy-duty truck manufacturer in North America – in August 2019. We are working together to develop highly automated trucks to improve the safety and efficiency of transporting goods. We are experts in providing autonomous vehicle solutions and we partner with other industry leaders to bring this new technology to work in the real world. Our mission is to drive the future of freight through safer roads and the efficient transport of critical goods. #TorcDriven #TorcRobotics