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

Torc Robotics; Michigan; Hybrid; USD 216,000 - 259,000; Full time

Benefits offered by this job

Medical premiums for employees

401K with company match

Stock options

Paid vacation

Holiday closures

Life Insurance

Job summary

Torc Robotics is seeking a Staff Machine Learning Engineer to lead BEV-based perception models across perception tasks, unifying camera, LiDAR, radar data into coherent spatial representations. You will drive architecture, data pipelines, and distributed training at scale.

The role emphasizes technical leadership, model innovation, and collaboration with sensor calibration and mapping teams. Hybrid work in Ann Arbor, MI or remote in the US is supported.

Qualifications

• 10+ years of experience in deep learning for perception, 3D vision, and autonomous systems.
• MS or PhD in CS/EE/Robotics or equivalent experience.
• Proven BEV modeling, 3D scene understanding and multi-view fusion expertise.
• Strong Python and DL framework skills, e.g., PyTorch or TensorFlow.

Responsibilities

• Lead BEV model development and roadmaps for perception across tasks (detection, segmentation, road topology).
• Design advanced multi-modal architectures fusing camera, LiDAR, radar, and HD maps.
• Own large-scale training workflows and optimization.
• Mentor ML engineers and drive model innovation and validation.

Skills

BEV modeling

3D scene understanding

Multi-modal fusion

Python

PyTorch

Distributed training

Mentoring

Education

MS or PhD in CS/EE/Robotics

Tools

PyTorch

TensorFlow

Job description

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