Senior, Machine Learning Engineer

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Senior, Machine Learning Engineer in USA new

Torc Robotics
Full time
Email

USA
09/22/2026
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Remote

Responsibilities

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

Requirements

Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field plus 6+ years of industry experience; alternatively, a master’s degree plus 3+ years or a PhD plus 1+ years.
Experience developing and deploying deep learning models for computer vision or perception systems.
Strong programming skills in Python and PyTorch, including production-quality machine learning code.
Experience training and evaluating models on large-scale datasets and distributed compute environments.
Understanding of deep learning architectures used in perception, including CNNs, transformers, and multi-task models.
Experience debugging model behavior, analyzing performance metrics, and improving model reliability.
Ability to translate ambiguous problems into structured machine learning solutions and deliver independently.
Experience collaborating cross-functionally to integrate machine learning models into autonomy or robotics systems.
Preferred experience includes autonomous driving, robotics, simulation-based ML, multi-task learning, unified perception architectures, large-scale data pipelines, Ray, experiment-management frameworks, camera calibration, geometric reasoning, 3D perception, BEV, monocular depth, structure-from-motion, and production robotics deployments.

Benefits

Hybrid work is available in the Ann Arbor, Michigan or Blacksburg, Virginia offices, or remotely within the United States.
Competitive compensation includes a bonus component and stock options.
Full-time employees receive 100% paid medical, dental, and vision premiums.
401(k) plan includes a 6% employer match.
Flexible scheduling, generous paid vacation available immediately after start date, and company-wide holiday office closures.
AD&D and life insurance are provided.

Salary: $177k - $213k/yr

Torc Robotics

Torc Robotics, headquartered in Blacksburg, Virginia, offers a complete autonomous software solution for the trucking/freight industry. Torc was acquired by Daimler – the largest heavy-duty truck manufacturer in North America – in August 2019. We are working together to develop highly automated t...

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