Staff ML Engineer – E2E

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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 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.

🎯 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

🏖️ 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