Staff, Machine Learning Engineer - BEV/Multi-Modal Perception New Remote, U.S, Ann Arbor, MI

Torc Robotics, Inc.; Ann Arbor (MI); Hybrid; USD 216,000 - 259,000; Full time

Benefits offered by this job

Bonus and stock options

100% paid medical, dental, and vision

401K with 6% employer match

Flexible schedule

Paid vacation

AD+D and Life Insurance

Job summary

Torc Robotics, Inc. in Ann Arbor, MI is seeking a Staff Machine Learning Engineer focused on BEV and multi-modal perception. You will lead development of next‑generation models that fuse camera, LiDAR, radar and HD maps to deliver a rich spatial understanding for autonomous driving.

The role emphasizes architectural innovation, large-scale training, and mentorship, with opportunities to advance 3D perception research and production-ready ML systems.

Qualifications

• 10+ years of experience in deep learning for perception, 3D vision, and autonomous systems.
• M.S. or Ph.D. in CS/EE/Robotics or equivalent practical experience.
• Proven BEV modeling, 3D scene understanding, and multi-view fusion expertise.
• Strong multi-modal sensor fusion with camera and LiDAR data.
• Proficiency in Python and DL frameworks (PyTorch, TensorFlow).
• Experience with large-scale data pipelines, distributed training, and experiment systems.
• Demonstrated leadership and mentoring of technical teams.

Responsibilities

• Lead BEV model development and roadmap for perception tasks.
• Design multi-modal architectures fusing camera, LiDAR, radar, and maps.
• Develop BEV transformers, voxel encoders, or 3D scene representations.
• Own large-scale training workflows and hyperparameter optimization.
• Improve robustness and generalization under challenging conditions.
• Establish evaluation frameworks for geometry, temporal stability, and transfer.
• Collaborate with sensor calibration, mapping, and fusion teams.
• Mentor ML engineers and promote best practices in experimentation.

Skills

Deep learning for perception

3D vision

BEV modeling

Multi-modal fusion

Python

PyTorch

TensorFlow

Large-scale data pipelines

Distributed training

Leadership

Mentoring

Education

M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field

Tools

PyTorch

TensorFlow

Ray

Job description

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

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team As a Staff Machine Learning Engineer specializing in BEV (Bird's-Eye View) and Multi-Modal Perception, you will lead the development of next‑generation models that unify information across cameras, LiDAR and radar to deliver a rich spatial understanding of the driving environment. You will drive architectural innovation, large-scale model training, and data-driven improvements that directly advance the perception capabilities at the heart of Torc's autonomous driving stack. This is a technical leadership role focused on model innovation and maturity, not downstream feature integration.

What You'll Do

• 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 unifiedspatial representations.
• Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scenerepresentations.
• Own large-scale training workflows — from data sampling strategies and augmentation pipelines to distributed training andhyperparameter optimization.
• Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare sceneconfigurations.
• 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 modelinterfaces.
• 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 3Dperception.

What You'll Need to Succeed

• 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.

Bonus Points

• 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).
• Understanding of performance tradeoffs and deployment constraints (latency, memory, accuracy).

Work Location: For this position, we are open to hiring in Ann Arbor, MI in a hybrid capacity. We are also open to hiring Remote in the United States.

Perks of Being a Full-time Torc’r

Torc cares about our teammembersand we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

• A competitive compensation package that includes a bonuscomponentand stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
• AD+D and Life Insurance

At Torc,we’recommitted to building a diverse and inclusive workplace. We celebrate the uniqueness of ourTorc’rsand do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Our compensation reflects the cost of labor across several geographic markets.Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.Torc's total compensation package will also include our corporate bonus and stock option plan.Dependenton the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102945

Hiring Range for Job Opening

US Pay Range

$215,500 - $258,600 USD