Staff ML Engineer – Learned Behaviors

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Torc Robotics

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Transport • Hardware • Artificial Intelligence

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

501 - 1000 employees

Founded 2007

🚗 Transport

🔧 Hardware

🤖 Artificial Intelligence

📋 Description

• Lead architecture, development, and validation of learned behavior models (e.g., driver mimicry, multi-agent interaction, behavior cloning, reinforcement learning) for highway and freight-truck autonomy. • Define and implement data strategies: collect, label, and curate large behavior datasets (in-vehicle, simulation, fleet logs) for training and evaluation. • Develop scalable model training pipelines, infrastructure, and tooling to iterate quickly on behavior models, from prototype to production deployment. • Design and track performance metrics, analyze model behavior, diagnose failure modes, and drive continuous improvement of learned behaviors in simulation and on-vehicle. • Work with simulation, scenario, and validation teams to embed learned behavior models into verification and validation frameworks, ensuring coverage across operational design domains (ODDs). • Mentor and lead mid and senior-level ML engineers, set technical direction, and drive best practices in learned behavior engineering across the team.

🎯 Requirements

• 10+ years of professional experience (or equivalent) in applied machine learning in autonomous vehicles, robotics, simulation or a related domain. • M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent practical experience). • Proven track record of designing and shipping learned behavior or policy models (e.g., behavior cloning, imitation learning, RL, multi-agent models) in production or near-production systems. • Strong programming skills in the AI domain(Python, Pytorch (Lightning), pandas ) • Experience with open-source distributed computing framework, specifically Ray. • Deep understanding of ML architectures (e.g., RNNs, transformers, graph neural networks, behavior prediction networks) and system-level integration into autonomy stacks. • Experience with large-scale data pipelines, model training infrastructure, versioning, and deployment (cloud and/or embedded).

🏖️ Benefits

• A competitive compensation package that includes a bonus component and stock options • Medical, dental, and vision for full-time employees • RRSP plan with a 4% employer match • Public Transit Subsidy (Montreal area only) • Flexibility in schedule and generous paid vacation • Company-wide holiday office closures • Life Insurance