Machine Learning Engineer, II – 3D Perception

This is a fully remote position, open to applicants in Michigan, +2 more states.

📋 Description

• Create, enhance, and refine machine learning models that support Torc's perception systems.

• Take ownership of model development and delivery for specific perception problem areas, encompassing data preparation, training, evaluation, and integration.

• Write high-quality Python and PyTorch code suitable for scalable training, evaluation, and inference workflows.

• Assess model performance, identify failure modes, and troubleshoot issues to enhance robustness, accuracy, and generalization.

• Develop and assess perception models utilizing multi-modal sensor data, particularly focusing on camera-based and 3D perception systems.

• Collaborate with software engineers, infrastructure teams, and autonomy engineers to seamlessly integrate perception models into production software systems.

• Optimize training pipelines, data workflows, experimentation tools, and developer processes.

• Engage in model architecture discussions and offer technical recommendations.

• Lead small technical initiatives or model components with support from senior engineers.

• Provide support and mentorship to Machine Learning Engineer I team members.

• Document technical work, evaluation outcomes, and design decisions.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with over 3 years of relevant industry experience, OR a Master's degree with at least 1 year of relevant experience, or equivalent practical experience.

• Proven experience in developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related field.

• Strong programming capabilities in Python and PyTorch, including the ability to write maintainable, production-quality machine learning code.

• Familiarity with training, evaluating, and enhancing deep learning models using large-scale datasets.

• Experience with image-based and/or 3D perception systems.

• A solid grasp of deep learning architectures applicable to perception applications.

• Experience in debugging model behavior, analyzing performance metrics, and suggesting practical improvements.

• Capacity to independently carry out complex machine learning tasks within well-defined problem areas.

• Experience in cross-functional collaboration to integrate machine learning models into broader software systems.

• Strong problem-solving abilities in an environment characterized by evolving technical challenges and requirements.

• Bonus: Experience in autonomous driving, robotics, or ADAS perception systems.

• Bonus: Familiarity with LiDAR, point cloud processing, sensor fusion, BEV representations, temporal perception models, video-based learning, C++, ROS, robotics software development, production ML deployment, distributed training, perception evaluation frameworks, ML tooling, or ownership of technical initiatives.

🏝️ Benefits

• A competitive compensation package that includes a bonus component and stock options.

• Full coverage of medical, dental, and vision premiums for full-time employees.

• 401K plan featuring a 6% employer match.

• Flexible scheduling options.

• Generous paid vacation available immediately upon starting.

• Company-wide holiday office closures.

• AD+D and Life Insurance coverage.

• Potential sign-on bonuses, relocation assistance, and other forms of compensation depending on the position offered.

• Comprehensive medical, financial, and other benefits.