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Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

4 weeks, 1 day ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Computer Vision Deep Learning Machine Learning MLOps Python PyTorch TensorFlow
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 13

Description

  • Lead the technical roadmap for BEV perception models covering detection, segmentation, road topology, and scene understanding.
  • Design multi-modal architectures that fuse camera, LiDAR, radar, and HD-map data into unified spatial representations.
  • Develop foundational perception models using BEV transformers, voxel-based encoders, and implicit scene representations.
  • Own large-scale training workflows, including data sampling, augmentation, distributed training, and hyperparameter optimization.
  • Improve model robustness and generalization for low visibility, occlusions, and rare scene conditions.
  • Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer.
  • Collaborate with calibration, mapping, and sensor-fusion teams on cohesive model interfaces.
  • Mentor ML engineers and promote strong practices in experimentation, code quality, and model validation.
  • Explore self-supervised learning, large-scale pretraining, and foundation models for 3D perception.

Requirements

  • 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems.
  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.
  • Expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
  • Strong experience integrating camera and LiDAR data for multi-modal sensor fusion.
  • Proficiency in Python and PyTorch or TensorFlow.
  • Experience with large-scale data pipelines, distributed training, and experiment management systems.
  • Demonstrated technical leadership in ML innovation and team mentoring.
  • Experience with production autonomous-driving or robotics perception systems preferred.
  • Experience with MLOps tools such as Ray, 3D labeling, calibration, or sensor simulation preferred.
  • Publications or open-source contributions in venues such as CVPR, ICCV, NeurIPS, ICRA, or CoRL preferred.

Benefits

  • Hiring range of $215,500–$258,600 USD.
  • Competitive compensation with bonus and stock options.
  • 100% employer-paid medical, dental, and vision premiums.
  • 401(k) with a 6% employer match.
  • Flexible scheduling, generous paid vacation available immediately, and company-wide holiday closures.
  • Life and accidental death and dismemberment insurance.
  • Hybrid work in Ann Arbor, Michigan, or remote work within the United States.

Interested in this position?

Apply directly on the company website

Apply Now

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