Staff, Machine Learning Engineer - BEV/Multi-Modal Perception
Torc Robotics · Remote, U.S, Ann Arbor, MI
Posted 12 days ago
or apply directly on Torc Robotics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Torc Robotics's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- No 11% of Torc Robotics's roles list one
- Ghost-job risk at Torc Robotics
- high 24 stale, 0 reposted of 56 open
- Hiring momentum
- 93 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Torc Robotics's own greenhouse board since 2026-08-03. Full hiring picture for Torc Robotics.
About this role
As a Staff Machine Learning Engineer at Torc, you will lead the development of advanced perception models that integrate data from various sensors like cameras, LiDAR, and radar. Your role will involve defining technical roadmaps, designing multi-modal architectures, and overseeing large-scale training workflows to enhance the perception capabilities of autonomous driving technology. Additionally, you will mentor other engineers and stay updated on the latest ML research to drive innovation in the field.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Torc Robotics as an employer.
What you need
- 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
Nice to have
- Experience with autonomous driving or robotics perception in production environments
- Experience with MLOps and infrastructure tools (Ray)
- Hands-on expertise in BEV-based ML architectures, LiDAR-vision fusion, or spatial-temporal modeling
- Familiarity with 3D labeling, calibration, and sensor simulation pipelines
- Track record of publications or open-source contributions in top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL)
What you get
- 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
Worth weighing
- No salary listed in the posting, but a hiring range is provided
- Role focuses on technical leadership and innovation rather than feature integration
- Remote work option available, but hybrid capacity in Ann Arbor is also an option
Summarised from Torc Robotics's posting. Read the full original.
Listed by Torc Robotics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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