Senior / Staff / Principal ML Engineer - Future Consideration

Torc Robotics; Montreal; On-site; CAD 160,000 - 235,000; Full time

Job summary

Torc Robotics is seeking Machine Learning Engineers to join their Model Development team, contributing to groundbreaking advancements in autonomous vehicle technology. This role requires expertise in deep learning and robotics, offering the chance to impact the future of freight movement. Successful candidates will possess advanced degrees and significant relevant experience.

Benefits

Competitive compensation package with bonuses and stock options

Medical, dental, and vision benefits

RRSP plan with 4% employer match

Public Transit Subsidy

Flexibility in schedule and generous paid vacation

Company-wide holiday office closures

Life Insurance

Qualifications

• 5+ years experience in applied ML for robotics or autonomous systems.
• Experience deploying production-quality models.
• Expertise with object detection, segmentation, and depth estimation.

Responsibilities

• Design and implement deep learning models for various tasks.
• Collaborate with robotics and data engineering teams.
• Mentor and develop junior engineers.

Skills

Machine Learning

Deep Learning

Computer Vision

Python

PyTorch

Education

MS or PhD in Computer Science, Artificial Intelligence, Robotics

Tools

CUDA programming

distributed computing frameworks

Job description

About the Company

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.

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 highly experienced machine learning engineers to join our model development department. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI.

We’re always looking ahead—and that includes building our talent pipeline with exceptional engineers who can help lead the next wave of innovation in autonomy. As we grow, we are actively building a pipeline of exceptional Machine Learning Engineers at the Senior, Staff and Principal levels to join our Model Development team in the future. This is an opportunity to connect early, understand your expertise, and consider you for strategic roles as they become available.

Please Note: This is not an immediate opening. By applying, you’re expressing interest in potential future roles with our teams.

What You’ll Do

As a Machine Learning Engineer at Torc, your contributions may span the following areas, depending on your level and specialization:

• Design and implement component based deep learning models for:
• Object detection, segmentation, and depth estimation on radar, lidar, and vision data
• Multimodal fusion, BEV space modeling and object tracking
• Learned trajectory planning and behavior prediction
• Deep learning-based end to end modeling
• Research on future deep learning-based technologies in the autonomous driving domain
• Maintain and optimize data loading, pre- and postprocessing and metrics for robust and scalable training pipelines
• Work with partially annotated data and varying data sources
• Analyze model performance, data, and metrics

Cross-functional Collaboration

• Collaborate closely with teams in robotics and data engineering as well as with hardware acceleration teams
• Ensure smooth integration of perception and prediction models into the autonomy stack
• Drive technical roadmap planning and long-term ML strategy
• Mentor and develop junior engineers and guide cross-functional technical efforts
• Represent ML expertise in architectural and product decisions

What We’re Looking For

• MS or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field
• 5+ years of professional experience in applied ML for robotics, autonomous systems, or computer vision, preferably in autonomous vehicles industry.
• Strong proficiency in Python and PyTorch , with experience deploying production-quality models

Bonus Points!

• Experience with CUDA programming , custom PyTorch ops, and/or NVIDIA libraries (CUBLAS, CuDNN, NPP)
• Expertise with distributed computing frameworks (e.g., Ray, AWS)
• Deep understanding of data-driven development, including edge case discovery and long-tail analysis
• Applied experience with autonomous vehicle platforms , robotics middleware, or real-time systems
• Published research or patents in ML/AV-related fields

Hiring Range for Job Opening

• Senior: $160,800 - $193,000
• Staff: $195,500 - $234,600

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

• 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

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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