[Remote] Staff, ML Engineer - BEV at Torc Robotics

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, AutomotiveIndustries

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

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
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

Skills

Key technologies and capabilities for this role

Machine LearningBEVMulti-Modal PerceptionLiDARRadarCamera FusionTransformersVoxel EncodersDistributed TrainingHyperparameter OptimizationObject DetectionSegmentationScene UnderstandingHD MapsPyTorchTensorFlow

Questions & Answers

Common questions about this position

What experience level is required for this Staff ML Engineer role?

The role requires 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems, along with an M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field.

What are the key technical skills needed for this position?

Candidates need proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion, plus a strong background in multi-modal sensor fusion with camera, LiDAR, radar, and HD maps.

What does the role involve in terms of leadership and collaboration?

You will lead BEV model development, mentor ML engineers, and collaborate cross-functionally with sensor calibration, mapping, and fusion teams.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Staff ML Engineer role?

A strong candidate has 10+ years in deep learning for perception or autonomous systems, expertise in BEV and multi-modal fusion, and experience leading model development and mentoring engineers.

Torc Robotics

Develops autonomous driving technology for trucks

About Torc Robotics

Torc Robotics develops software systems for self-driving trucks, focusing on Level 4 autonomous driving technology that allows trucks to operate without human intervention in specific conditions. Their technology enhances road safety and meets the logistics industry's growing demands. Torc Robotics partners with major truck manufacturers, like Daimler Trucks, and collaborates with companies such as Luminar Technologies to integrate advanced sensors into their systems. They generate revenue by selling their software to fleet operators and truck manufacturers, while also providing ongoing support and updates. The company's goal is to improve efficiency and safety in freight transportation through their autonomous solutions.

Blacksburg, VirginiaHeadquarters

2005Year Founded

M_AND_ACompany Stage

Robotics & Automation, Automotive & TransportationIndustries

501-1,000Employees

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

Risks

Increased competition from companies like Waymo and Aurora could impact market share.

Expansion into new markets involves significant operational costs and regulatory risks.

The strategic partnership with Daimler may limit alliances with other truck manufacturers.

Differentiation

Torc Robotics specializes in self-driving truck technology, focusing on Level 4 autonomy.

The company has a strategic partnership with Daimler Trucks for autonomous vehicle development.

Torc's modular products enable rapid integration of robotic systems for various applications.

Upsides

Torc is expanding operations to Texas and Michigan, enhancing market presence.

The company won the 2024 Top Software & Tech Award in the Robotics category.

Torc's focus on autonomous Class 8 trucks addresses aging workforce and rising demand.

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