Machine Learning Engineer, II - 3D Perception
Torc Robotics2 months ago
Remote, United States or Fort Worth, TX, USAMid Level
H1B sponsor
Base Salary
$153k - $184k/yr
Responsibilities
- Design, develop, and improve machine learning models for Torc’s perception systems.
- Own model development and delivery from data preparation and training through evaluation and integration.
- Write production-quality Python and PyTorch code for scalable training, evaluation, and inference workflows.
- Analyze model performance, troubleshoot failure modes, and improve robustness, accuracy, and generalization.
- Develop and evaluate multimodal camera-based and 3D perception models.
- Collaborate with software, infrastructure, and autonomy engineers to integrate models into production systems.
- Improve training pipelines, data workflows, experimentation tooling, and developer workflows.
- Contribute to model architecture discussions and technical recommendations.
- Lead small technical initiatives or model components with guidance from senior engineers.
- Support and mentor Machine Learning Engineer I team members and document technical work, evaluation results, and design decisions.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 3+ years of relevant industry experience, or a master’s degree with 1+ years of relevant experience, or equivalent practical experience.
- Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.
- Strong Python and PyTorch programming skills and experience writing maintainable, production-quality machine learning code.
- Experience training, evaluating, and improving deep learning models using large-scale datasets.
- Experience with image-based and/or 3D perception systems.
- Understanding of deep learning architectures used for perception applications.
- Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements.
- Ability to independently execute complex machine learning work within defined problem areas and collaborate cross-functionally to integrate models into larger software systems.
- Bonus qualifications include experience with autonomous driving, robotics, ADAS, LiDAR, point clouds, sensor fusion, BEV, temporal or video-based learning, C++, ROS, production model deployment, distributed training, evaluation frameworks, benchmarking, ML tooling, and technical initiative ownership.
Benefits
- Hybrid office work is available in Ann Arbor, MI; Blacksburg, VA; and Fort Worth, TX, with a remote option in the United States.
- Competitive compensation package with bonus component and stock options.
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible schedule, generous paid vacation available immediately after start date, company-wide holiday office closures, AD&D insurance, and life insurance.
Categories
ML EngineeringRobotics
About Torc Robotics
Torc Robotics develops autonomous driving software for heavy-duty trucks, offering a full self-driving stack, mapping, and perception for freight carriers and OEMs. Founded in 2005 and headquartered in Blacksburg, Virginia, it was acquired by Daimler Truck in 2019. As a subsidiary, Torc focuses on commercializing Level 4 trucking with its parent’s vehicle platforms and industry partnerships in North American freight transport.