Senior Machine Learning Engineer - 3D Perception
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Torc RoboticsAutonomous Vehicles
Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VAFull-TimeSenior
Salary$177,300 — $212,800 USD
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Job Details
- Experience
- Bachelor's degree with 6+ years, Master's degree with 3+ years, or Ph.D. with 1+ years
- Required Skills
- PythonMachine LearningPyTorchDeep LearningComputer Vision
Requirements
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field with 6+ years of industry experience; or Master's degree with 3+ years; or Ph.D. with 1+ years.
- Experience developing production machine learning models for computer vision, perception, robotics, or autonomous systems.
- Strong programming skills in Python and PyTorch.
- Experience writing production-quality ML code.
- Experience training, evaluating, and improving deep learning models using large-scale datasets.
- Experience working with image-based and/or 3D perception systems.
- Strong understanding of deep learning architectures commonly used for perception applications.
- Experience debugging model behavior, analyzing performance metrics, and improving model reliability.
- Ability to translate ambiguous perception challenges into practical machine learning solutions.
- Experience collaborating cross-functionally to integrate ML models into larger software systems.
Responsibilities
- Design, develop, and deploy production machine learning models supporting Torc's perception systems.
- Own end-to-end model development for scoped perception problem areas, from data preparation and training through evaluation and deployment.
- Write production-quality ML code to support scalable training, evaluation, and inference workflows.
- Analyze model performance, identify failure modes, and iterate to improve robustness, accuracy, and generalization across diverse driving environments.
- Develop and optimize 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 production autonomy software.
- Support improvements to training pipelines, data workflows, and tooling that accelerate model iteration and deployment.
- Contribute to model architecture discussions and technical decision-making within the team.
- Mentor junior engineers on implementation, experimentation, and machine learning best practices.
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