Machine Learning Engineer, II - 3D Perception
Torc Roboticsabout 4 hours ago
Remote, Worldwide 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 for defined perception problems 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, identify failure modes, and troubleshoot issues to improve robustness, accuracy, and generalization.
- Develop and evaluate camera-based and 3D perception models using multimodal sensor data.
- Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into production software systems.
- Improve training pipelines, data workflows, experimentation tooling, and developer workflows.
- Participate in model architecture discussions and provide technical recommendations.
- Lead small technical initiatives or model components with guidance from senior engineers.
- Support and mentor Machine Learning Engineer I team members.
- 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 programming skills in Python and PyTorch, including 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 well-defined problem areas.
- Experience collaborating cross-functionally to integrate machine learning models into larger software systems.
- Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, temporal perception models, video-based learning, or perception evaluation frameworks is a bonus.
- Experience with C++, ROS, robotics software development, production model deployment, distributed training, ML tooling, automation, or experimentation infrastructure is a bonus.
- Experience leading a small technical initiative or owning a production machine learning component through development and deployment is a bonus.
Benefits
- 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 scheduling and generous paid vacation available immediately after starting.
- Company-wide holiday office closures.
- AD&D and life insurance.
- Hybrid office work is available in Ann Arbor, MI; Blacksburg, VA; and Fort Worth, TX, or the role can be remote within the United States.
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