Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Torc Robotics Logo

Staff, ML Engineer - BEV

Torc Robotics

$219,700 - $329,600
Dec 4, 2025
Remote, US
Apply Now

Torc is looking to develop software for automated trucks to transform how the world moves freight, and this role is focused on leading the development of next-generation models that unify information across cameras, LiDAR, and radar to deliver a rich spatial understanding of the driving environment.

Requirements

  • 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems
  • Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
  • Strong background in multi-modal sensor fusion, particularly integrating camera and LiDAR data.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with large-scale data pipelines, distributed training, and experiment management systems.
  • Demonstrated leadership in driving ML model innovation and mentoring technical teams.
  • Experience with MLOps and infrastructure tools (Ray)

Responsibilities

  • Lead BEV model development: Define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding).
  • Design advanced multi-modal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified spatial representations.
  • Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene representations.
  • Own large-scale training workflows — from data sampling strategies and augmentation pipelines to distributed training and hyperparameter optimization.
  • Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare scene configurations.
  • Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.
  • Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model interfaces.

Other

  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent practical experience).
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures