[Remote] Staff, ML Engineer - E2E 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, TransportationIndustries

Requirements

10+ years of experience developing deep learning systems for perception, planning, or control
M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent practical experience)
Deep expertise in multi-modal ML, sequence modeling, or policy learning (e.g., Transformers, diffusion models, imitation learning)
Proven track record in large-scale model training and optimization for real-world tasks
Strong proficiency in Python, PyTorch, or TensorFlow, and experience with distributed ML frameworks
Solid understanding of sensor fusion, spatiotemporal modeling, and vehicle dynamics
Demonstrated leadership in driving technical roadmaps, mentoring teams, and delivering production-quality ML solutions
Experience using Ray

Responsibilities

Lead E2E model design and development — define architectures that directly map multi-modal sensor inputs (camera, LiDAR, radar, HD maps) to mid- or high-level driving actions or cost functions
Drive large-scale training and evaluation for E2E learning, integrating data from perception, behavior prediction, and control systems
Develop and refine learning objectives that align with real-world driving metrics: safety, comfort, compliance, and efficiency
Architect scalable pipelines for multi-task, multi-modal learning, leveraging both real-world and synthetic data
Prototype and evaluate new paradigms such as differentiable planning, imitation learning, reinforcement learning, and world models for AV behavior
Collaborate cross-functionally with Perception, Prediction, and Motion Planning teams to align interfaces and ensure consistency between learned and modular components
Establish robust evaluation frameworks for E2E performance, including closed-loop simulation and on-road validation
Mentor engineers and scientists in large-scale experimentation, model interpretability, and data-driven debugging
Stay at the frontier of ML research, exploring advancements in foundation models, sequence modeling, self-supervision, and generative world representations

Skills

Key technologies and capabilities for this role

Machine LearningEnd-to-End ModelsDeep LearningComputer VisionLiDARRadarMulti-Modal LearningPyTorchTensorFlowLarge-Scale TrainingModel ArchitectureAutonomous DrivingSensor FusionData PipelinesSimulation Data

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 developing deep learning systems for perception, planning, or control, along with an M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field.

What are the key technical skills needed for this position?

Candidates need deep expertise in multi-modal ML, sequence modeling, and experience with E2E model design using multi-modal sensor inputs like camera, LiDAR, radar, and HD maps, plus knowledge of paradigms such as imitation learning, reinforcement learning, and world models.

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

You will lead E2E model design, mentor engineers and scientists, and collaborate cross-functionally with Perception, Prediction, and Motion Planning teams.

Is this a remote position, or is there a location requirement?

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 AV systems, advanced degrees in relevant fields, expertise in multi-modal and E2E ML, and experience leading research-focused development with real-world data.

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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