Torc Robotics - Senior Machine Learning Engineer - Camera Model

• 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 PhD with 1+ years of experience • Experience developing and deploying deep learning models for computer vision or perception systems • Strong programming skills in Python and PyTorch, with experience writing production-quality ML code • Experience training and evaluating models using large-scale datasets and distributed compute environments • Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models) • Experience debugging model behavior, analyzing performance metrics, and improving model reliability • Ability to translate ambiguous problems into structured ML solutions and deliver independently • Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems • Experience in autonomous driving, robotics, or simulation-based ML systems • Experience with multi-task learning or unified perception architectures • Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks • Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion) • Experience deploying ML models into production or real-world robotics systems • Work Location: For this position, we are open to hiring in either the Ann Arbor, MI OR Blacksburg, VA (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States • Work Location: