Senior, Machine Learning Engineer - Camera Model

Remote - USfull timeRemote

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senior

$177k–$213k

H1B: yes

Torc Robotics Senior Machine Learning Engineer responsible for developing and deploying camera-based perception models for autonomous trucks. Own end-to-end model development including data curation, training, evaluation, and deployment within the autonomy stack.

Responsibilities

Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
Write production-quality ML code to support scalable training, evaluation, and inference pipelines
Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
Contribute to model architecture decisions and technical discussions within the team
Mentor junior engineers on implementation, debugging, and best practices

Qualification

Bachelor’s degree in Computer ScienceExperience debugging model behaviorExperience in autonomous drivingFamiliarity with camera calibrationWork Location

Required

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

Preferred

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

Benefits

Dental
Vision
401(k)
Equity/RSU
Life Insurance

Company

Torc Robotics

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Source: greenhouse

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

Bachelor’s degree in Computer ScienceExperience debugging model behaviorExperience in autonomous drivingFamiliarity with camera calibrationWork Location

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