Machine Learning Engineer, II - 3D Perception
New
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Torc RoboticsAutonomous Driving
Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VAFull-TimeMiddle
Salary$153,200 — $183,800 USD
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Job Details
- Experience
- 3+ years of relevant industry experience (Bachelor's degree), or 1+ years (Master's degree)
- Required Skills
- PythonMachine LearningPyTorchDeep LearningComputer Vision
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 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, with experience writing maintainable, production-quality machine learning code.
- Experience training, evaluating, and improving deep learning models using large-scale datasets.
- Experience working with image-based and/or 3D perception systems.
- Solid understanding of deep learning architectures commonly 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.
- Strong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.
Responsibilities
- Design, develop, and improve machine learning models supporting Torc's perception systems.
- Own model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.
- Write production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.
- Analyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.
- Develop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.
- Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.
- Contribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.
- Participate in model architecture discussions and contribute technical recommendations within the team.
- Lead small technical initiatives or model components with guidance from senior engineers.
- Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.
- Document technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.
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