Senior, ML Engineer
12 hours ago
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 transform how 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
As a Senior ML Engineer focused on Localization & Perception, you'll build the machine-learning component that enables Torc's autonomous trucks to understand precisely where they are in the world. We work across sensor fusion, map-based localization, and learning-based pose estimation to deliver robust, real-time localization in challenging environments. As part of a multidisciplinary group of ML engineers and researchers in Autonomy, you'll collaborate closely across ML teams to build production-grade solutions that advance Torc's mission of safe, reliable autonomous trucking.
What You'll Do
Design, build, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion pipelines using camera, LiDAR, and radar data. Develop high-performance training and evaluation workflows, leveraging frameworks such as PyTorch, distributed training infrastructure, and large-scale datasets. Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack, ensuring performance, stability, and real-time constraints are met. Analyze failure cases, run ablations, improve model robustness, and drive rigorous experimentation to achieve production-level reliability. Contribute to system design, code reviews, best practices, and documentation across the ML and autonomy organization.What You'll Need to Succeed
Bachelor's degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry. Master's degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry. Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation). Strong experience developing and deploying ML models in perception, localization, or sensor fusion domains. Proficiency with PyTorch and modern ML tooling for training, inference, and optimization. Solid understanding of 3D geometry, probabilistic estimation, spatial transforms, and robotics fundamentals. Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation. Strong software engineering skills in Python or C++, with a focus on clean, maintainable, production-ready code. Excellent communication skills and the ability to collaborate in a fast-paced, cross-functional environment.Bonus Points
Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks. Knowledge of embedded and real-time constraints for on-vehicle deployment. Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling. Contributions to open-source robotics, perception, or ML frameworks.Knowledge of English is since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.
Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.
Perks of Being a Full-time Torc'r (Canada)
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 optionsMedical, dental, and vision for full-time employeesRRSP plan with a 4% employer matchPublic Transit Subsidy (Montreal area only)Flexibility in schedule and generous paid vacationCompany-wide holiday office closuresLife InsuranceAt 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.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
CAD Compensation Range: $199,200 to $298,800
Job ID: R-102401
-
Senior, ML Engineer
3 days ago
Remote - Canada, Montreal, Canada Torc Robotics Full time $141,500 - $212,300 per yearAbout 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...
-
Senior ML Engineer
1 week ago
Canada - Remote Quantiphi Full time $150,000 - $200,000 per yearWhile technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.If working in an environment that encourages you to innovate and excel, not just in professional but personal life,...
-
Senior ML Engineer
4 weeks ago
Mississauga, Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Victoria, Surrey, Halton Hills, London, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada vaga para Senior ML Engineer, Recommendation Systems na Launch Potato Full timeA profitable digital media company is looking for a Senior Machine Learning Engineer specializing in Recommendation Systems. In this role, you will design and optimize ML systems that deliver real-time recommendations across millions of users. Candidates should have a strong background in ranking algorithms, experience with large-scale ML deployments, and...
-
Senior, ML Engineer
3 days ago
Remote - Canada, Montreal, Canada Torc Robotics Full time $141,500 - $212,300 per yearAbout 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...
-
Senior ML Engineer, Recommendation Systems
3 weeks ago
, , Canada Launch Potato Full timeSenior ML Engineer, Recommendation Systems Join to apply for the Senior ML Engineer, Recommendation Systems role at Launch Potato Who Are We? Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As a Discovery and Conversion Company, our mission...
-
Principal ML Engineer
3 weeks ago
, , Canada Launch Potato Full timePrincipal ML Engineer - Launch Potato Join to apply for the Principal ML Engineer role at Launch Potato . About Launch Potato Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As the discovery and conversion company, our mission is to connect...
-
Senior ML Engineer, Recommendation Systems
2 weeks ago
, , Canada Launch Potato Full timeSenior ML Engineer, Recommendation Systems – Launch Potato Company Overview Launch Potato is a profitable digital media company that reaches over 30M monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As the Discovery and Conversion Company, we connect consumers with leading brands through data‑driven content and...
-
AI/ML Engineer
1 week ago
, , Canada Tek Tron IT Full timeJob Overview In this role, the Machine Learning Engineer will design, develop, and deploy AI and deep learning models for production, build scalable data pipelines for feature extraction and training, manage end‑to‑end MLOps workflows, conduct exploratory data analysis and feature engineering, collaborate with data scientists and software engineers,...
-
Principal ML Engineer
4 weeks ago
, , Canada Launch Potato Full timePrincipal ML Engineer – Launch Potato WHO ARE WE? Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content...
-
Senior ML Engineer: Ad Performance
3 weeks ago
, , Canada Launch Potato Full timeA digital media company is seeking a Senior Machine Learning Engineer to enhance ad performance through scalable ML systems. This role involves collaborating globally to optimize algorithms that improve user engagement and revenue. The ideal candidate has 5+ years of experience in ML engineering, especially in advertising systems, and is proficient in Python...
