Senior Machine Learning Engineer – Camera Models (Autonomous Driving) – Montreal / Remote Canada-US | Visa + Salary Insights

📍 Location: ca

🏷 Type: Not specified

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Job Overview

This role is a high-impact opportunity for a Senior Machine Learning Engineer specializing in camera-based perception systems for autonomous trucking technology. You will join a leading autonomous driving company within the Daimler ecosystem, focused on building production-grade AI systems for real-world freight mobility. The ideal candidate is an experienced engineer with strong expertise in computer vision, deep learning, and scalable ML systems, capable of owning end-to-end model development and deployment. This position blends research-driven innovation with engineering discipline, requiring strong ownership across data, modeling, and production integration in autonomous vehicle systems.

🌍 Work Eligibility & Location

This role is highly accessible for North American engineers, with flexibility for Remote and Hybrid work. While visa sponsorship is not guaranteed, candidates with strong autonomous driving or computer vision experience may still be considered under exceptional circumstances. The position is ideal for professionals already authorized to work in Canada or the US.

💰 Salary Intelligence

This is a top-tier Senior-Level ML engineering role in autonomous systems. Compensation is expected to be highly competitive, including base salary, performance bonuses, and equity participation. Given the complexity of autonomous perception systems, total compensation can significantly exceed industry averages for senior ML roles in Canada and US robotics sectors.

📊 Role Breakdown

In this role, you will design and deploy advanced deep learning models for camera-based perception systems powering autonomous trucks. Your work will focus on tasks such as object detection, segmentation, depth estimation, and scene understanding using large-scale datasets. You will own the full lifecycle of models, including data preparation, training, evaluation, and production deployment. A strong focus will be placed on improving model robustness across edge-case driving scenarios, ensuring safe real-world performance. You will collaborate with data engineering teams to refine datasets and improve labeling strategies, often influencing how training data is structured. Additionally, you will work with distributed training systems and large-scale ML infrastructure, optimizing performance using frameworks like PyTorch. Expect to debug complex model behaviors, analyze failure modes, and continuously improve system reliability in autonomous driving environments.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly competitive role requiring strong senior-level expertise. Candidates must demonstrate deep understanding of computer vision architectures, large-scale training systems, and real-world ML deployment. The barrier to entry is significant due to the safety-critical nature of autonomous driving systems and the need for production-grade reliability.

🚀 Career Impact

This role offers exceptional long-term value, positioning you at the center of autonomous vehicle innovation. Experience gained here directly translates into leadership roles in robotics, AI infrastructure, and self-driving technology companies globally.

📋 Key Responsibilities

You will design and implement production-grade computer vision models using PyTorch, focusing on perception tasks critical to autonomous trucking. Responsibilities include building scalable training pipelines, optimizing distributed model training, and improving dataset quality through collaboration with labeling and data teams. You will analyze model performance across diverse driving conditions, identify failure patterns, and implement robust fixes. Additionally, you will integrate ML models into the autonomy stack, ensuring smooth deployment into real-world systems. A key part of the role involves improving infrastructure for experimentation, enhancing model iteration speed, and contributing to architecture decisions for next-generation perception systems.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

🧠 Fit & Positioning Analysis

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📅 Application Signals

This is a high-demand autonomous driving ML role with strong global competition. Urgency is high due to limited openings in AV perception engineering. Candidates with proven production-level CV experience should prioritize early application. The competition is intense, especially from robotics and autonomous systems engineers.

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✅ Job Source & Verification

This job listing is sourced directly from the official Torc Robotics careers portal and reflects a verified senior engineering opening in autonomous driving perception systems. Information is accurate as of the latest posting date on the company platform, ensuring reliability for applicants targeting ML roles in autonomous vehicle development.