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Senior, Machine Learning Engineer - 3D Perception

45 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
C++ Computer Vision Deep Learning Machine Learning Python PyTorch
Apply Now
Torc

Torc

Torc Robotics is a leading provider of unmanned and autonomous ground vehicle technology, specializing in self-driving trucks for various industries. Founded in 2005, Torc has a history of innovation, including winning the 2007 DARPA Urban Challenge an...

Road & Rail
251-1K
Founded 2007
$37M raised
View All Jobs 12

Description

  • Design, develop, and deploy production machine learning models for perception systems.
  • Own end-to-end model development from data preparation and training through evaluation and deployment.
  • Write production-quality ML code for scalable training, evaluation, and inference workflows.
  • Analyze model performance, identify failure modes, and improve robustness, accuracy, and generalization.
  • Develop and optimize perception models using multi-modal sensor data, especially camera-based and 3D perception systems.
  • Collaborate with software, infrastructure, and autonomy teams to integrate models into production software.
  • Improve training pipelines, data workflows, and tooling to speed up model iteration and deployment.
  • Contribute to model architecture discussions and technical decision-making.
  • Mentor junior engineers on implementation, experimentation, and ML best practices.

Requirements

  • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field with 6+ years of industry experience, or a Master's degree with 3+ years, or a Ph.D. with 1+ years of experience.
  • Experience developing production machine learning models for computer vision, perception, robotics, or autonomous systems.
  • Strong programming skills in Python and PyTorch.
  • 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 used for perception applications.
  • Experience debugging model behavior, analyzing performance metrics, and improving reliability.
  • Ability to translate ambiguous perception challenges into practical machine learning solutions and deliver independently.
  • Experience collaborating cross-functionally to integrate ML models into larger software systems.
  • Experience developing perception systems for autonomous driving or robotics (preferred).
  • Experience with LiDAR, point cloud processing, sensor fusion, or other 3D perception techniques (preferred).
  • Experience with temporal perception models or video-based learning (preferred).
  • Experience with C++, ROS, or robotics software development (preferred).
  • Experience deploying machine learning models into production autonomy or robotics platforms (preferred).
  • Experience with large-scale perception datasets and distributed training environments (preferred).
  • Familiarity with perception evaluation frameworks, model validation, and performance benchmarking (preferred).
  • Experience improving ML tooling, infrastructure, or developer workflows (preferred).

Benefits

  • Competitive compensation package with bonus and stock options.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible schedule and generous paid vacation available immediately after start date.
  • Company-wide holiday office closures.
  • AD&D and life insurance.
  • Hybrid work in Ann Arbor, MI; Blacksburg, VA; or Fort Worth, TX, or remote work in the United States.
  • Potential sign-on payments, relocation support, and other forms of compensation depending on the position.

Interested in this position?

Apply directly on the company website

Apply Now

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