ML Engineer, II - Perception

Torc Robotics; Montreal; On-site; CAD 132,000 - 159,000; Full time

Job summary

A leading autonomous vehicle technology company is seeking a Machine Learning Engineer in Montreal, specializing in multi-modal perception models to enhance autonomous driving capabilities. Candidates should have a strong background in machine learning and computer vision, with proficiency in Python and PyTorch. This role involves developing deep learning models and collaborating with cross-functional teams to improve system reliability and performance. Competitive salary range is CAD $132,400 - $158,900.

Qualifications

• 4+ years of professional experience or a master's degree with 2+ years of experience.
• Strong understanding of computer-vision and machine learning.
• Experience with training and validating machine learning models.

Responsibilities

• Develop and optimize multi-modal perception models.
• Implement deep learning models for object detection and semantic segmentation.
• Collaborate with cross-functional teams.

Skills

Machine learning

Computer vision

Deep learning

Python

PyTorch

Education

Bachelor's degree in computer science or related field

Master's degree in computer science or related field

Job description

At Torc, we have always believed that autonomous vehicle technology will transform how we travel,move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transformhow the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Job Description Summary

The Model Development department is seeking a Machine Learning Engineer to contribute to building our next-generation BEV space models.

As a key member of the team, you will apply machine learning techniques in a production-focused environment. You’ll work with both single-modal and multimodal models to generate 3D representations of complex driving scenarios. Your daily responsibilities include model training, validation, data analysis, and architectural design. You will collaborate closely with deployment-focused teams to ensure system reliability and actively engage with the latest research trends, aiming to translate scientific advancements into robust, production-grade machine learning pipelines.

Meet the Team

Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking a highly experienced senior machine learning engineer to join our scene modeling team. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI.

What You Will Do:

Develop and Optimize Multi-Modal Perception Models

• Implement deep learning models for object detection, semantic segmentation, and voxel grid occupancy in BEV frameworks.
• Enhance perception systems to process multi-modal sensor data (camera, LiDAR, radar) effectively.
• Implement monocular and stereo depth estimation algorithms.
• Identify and interpret objects, lanes, obstacles, and weather conditions in the driving environment.
• Apply data science techniques to analyze model performance, understand data distributions, and identify corner cases.
• Integrate BEV representations into end-to-end planning and control pipelines.

Model Conversion, Deployment and Target Hardware Optimization

• Development of model-specific conversion, deployment and integration pipelines.
• Support the deployment of machine learning models on edge devices, ensuring real-time performance and resource efficiency.
• Optimize inference pipelines for embedded and automotive-grade hardware platforms.

Cross-Functional Collaboration

• Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of perception systems.
• Work with product and operations teams to define performance metrics and improve system reliability.

What You will Need to Succeed:

• Bachelor's degree in computer science, data science, artificial intelligence, or related field with 4+ years of professional experience or a master's degree with 2+ years of experience.
• Strong understanding of computer-vision, and machine learning.
• Experience with training and validating machine learning models.
• Mastery of Python and experience with PyTorch.
• Experience working with machine learning pipelines, familiarity with distributed systems such as Ray, and a strong interest in scalable training and deployment workflows.
• Good technical communication skills, written and verbal.
• A positive team-player mindset.

Bonus Points!

• PhD in machine learning or data science.
• Understanding of BEV space 3D scene modeling, and multimodal learning in autonomous systems.

Hiring Range for Job Opening

US Pay Range

$132,400 - $158,900 CAD

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

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