Senior, Machine Learning Engineer - 3D Perception

Job description

Job 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.

Job requirements

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master's degree with 3+ years, OR Ph.D.
• Experience developing production machine learning models for computer vision, perception, robotics, or autonomous systems.
• Strong programming skills in Python and PyTorch, with 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 and deliver results independently.