Staff ML Engineer – BEV
Torc Robotics
full-time
Posted on:
Location Type: Remote
Location: Remote • Missouri • 🇺🇸 United States
Visit company websiteSalary
💰 $219,700 - $329,600 per year
Job Level
Lead
Tech Stack
PythonPyTorchTensorflow
About the role
- 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.
- Mentor and guide ML engineers, cultivating best practices in experimentation, code quality, and model validation.
- Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, or 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 related field (or equivalent practical experience).
- 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.
Benefits
- A competitive compensation package that includes a bonus component and stock options
- 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
- AD+D and Life Insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
BEV modeling3D scene understandingmulti-view fusionmulti-modal sensor fusionPythonPyTorchTensorFlowlarge-scale data pipelinesdistributed traininghyperparameter optimization
Soft skills
leadershipmentoringcollaborationexperimentationcode qualitymodel validation
Certifications
M.S. in Computer SciencePh.D. in Computer ScienceM.S. in Electrical EngineeringPh.D. in Electrical EngineeringM.S. in RoboticsPh.D. in Robotics