[Remote] Staff, ML Engineer - Road & Lane Detection 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 developing deep learning models for perception or computer vision at scale
M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience)
Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation
Strong understanding of lane and road geometry modeling, camera calibration, and sensor projection
Proficiency with Python and modern ML frameworks (e.g., PyTorch, Lightning)
Experience with distributed training pipelines, experiment management, and large-scale dataset handling
Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable model improvements

Responsibilities

Own the model roadmap for Road & Lane Detection within the Model Dev ML org — from concept through production-grade model maturity
Research, design, and train advanced neural architectures (e.g., multi-camera BEV transformers, LiDAR-vision fusion models, topological lane graph networks) to detect, segment, and model road structures and lane connectivity
Lead data strategy for this domain — defining data curation, labeling policies, and active learning pipelines to capture long-tail scenarios (e.g., occlusions, complex merges, construction zones)
Develop robust metrics and evaluation frameworks for lane and road geometry accuracy, temporal consistency, and cross-domain generalization
Advance foundational capabilities such as self-supervised pretraining, synthetic-to-real adaptation, and temporal modeling for road and lane understanding
Drive large-scale experiments — designing, running, and analyzing results from distributed training workflows and ablations to identify scalable improvements
Collaborate with other model dev/perception teams to ensure model coherence and interface consistency
Mentor engineers and scientists, setting best practices for model training, evaluation, and code quality
Stay ahead of the research frontier by evaluating and adapting emerging techniques (e.g., BEV-based large models, vectorized map prediction, lane graph transformers) to production-grade perception

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningNeural ArchitecturesBEV TransformersLiDARVision FusionComputer VisionPerceptionData CurationActive LearningModel DevelopmentSensor Fusion

Questions & Answers

Common questions about this position

What is the salary range for this Staff ML Engineer position?

This information is not specified in the job description.

Is this Staff ML Engineer role remote or onsite?

This information is not specified in the job description.

What key skills are required for the Road & Lane Detection ML Engineer role?

The role requires expertise in researching, designing, and training advanced neural architectures like multi-camera BEV transformers and LiDAR-vision fusion models, leading data strategies for curation and active learning, and developing robust metrics and evaluation frameworks.

What is the team structure like for this ML Engineer position?

You will work within the Model Dev ML org, collaborating with other model dev/perception teams, and mentor engineers and scientists while leading model development efforts.

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

Strong candidates will have technical leadership experience in model innovation for perception, expertise in deep learning architectures and data strategies for autonomous driving, and the ability to mentor teams while staying ahead of research frontiers.

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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