Senior, ML Engineer - Learned Localization job opportunity at Torc Robotics.

Home Jobs In Canada Tag: Autonomy Senior, ML Engineer - Learned Localization position at Torc Robotics


bot
Torc Robotics Senior, ML Engineer - Learned Localization
Experience: 6-years
Pattern: Remote
Country:
apply Apply Now
Salary:
Status:

Autonomy

Copy Link Report
degreeOND
loacation Montreal, , Remote -, Canada
loacation Montreal, , Re..........Canada

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 required 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 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.  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      

Other Ai Matches

remote-jobserver Remote
Senior, ML Engineer - Learned Localization Applicants are expected to have a solid experience in handling Autonomy related tasks
remote-jobserver Remote
Staff, ML Engineer - E2E Applicants are expected to have a solid experience in handling Autonomy related tasks
Machine Learning Engineer, II - App Engine (CUDA) Applicants are expected to have a solid experience in handling Compute Platform related tasks
remote-jobserver Remote
Ingénieur(e) principal (e) en apprentissage automatique - Perception hors ligne Applicants are expected to have a solid experience in handling Data Loop and Simulation related tasks
remote-jobserver Remote
Manager, Technical Writing Applicants are expected to have a solid experience in handling Program Management related tasks
remote-jobserver Remote
Senior Simulation & Scenario Validation Engineer Applicants are expected to have a solid experience in handling Safety Data Science related tasks
remote-jobserver Remote
Senior, ML Engineer - Unstructured Environments Applicants are expected to have a solid experience in handling Engineering related tasks
remote-jobserver Remote
Senior, ML Engineer - ML Ops Framework Applicants are expected to have a solid experience in handling Data Loop and Simulation related tasks
remote-jobserver Remote
Staff, ML Engineer - Learned Behaviors / RL Planning Applicants are expected to have a solid experience in handling Autonomy related tasks
remote-jobserver Remote
Responsable de l’ingénierie - Accélération matérielle (CUDA) Applicants are expected to have a solid experience in handling Compute Platform related tasks
remote-jobserver Remote
Staff, ML Engineer - BEV Applicants are expected to have a solid experience in handling Autonomy related tasks
remote-jobserver Remote
Manager, Engineering - Hardware Acceleration (CUDA) Applicants are expected to have a solid experience in handling Compute Platform related tasks
remote-jobserver Remote
Ingénieur(e) principal (e) en apprentissage automatique - Cadres des opérations d’AA Applicants are expected to have a solid experience in handling Data Loop and Simulation related tasks
remote-jobserver Remote
Safety & Incident Manager 2 Applicants are expected to have a solid experience in handling Product Safety Assurance related tasks
remote-jobserver Remote
Staff, ML Engineer - Road & Lane Detection Applicants are expected to have a solid experience in handling Autonomy related tasks
remote-jobserver Remote
Ingénieur(e) “Staff" en apprentissage automatique - "E2E" Applicants are expected to have a solid experience in handling Autonomy related tasks
remote-jobserver Remote
Annotator I Applicants are expected to have a solid experience in handling Data Loop and Simulation related tasks
remote-jobserver Remote
Senior, ML Engineer - Road & Lane Detection Applicants are expected to have a solid experience in handling Autonomy related tasks
Fleet Service Manager 2 Applicants are expected to have a solid experience in handling Fleet Operations related tasks
remote-jobserver Remote
Staff, ML Engineer - Learned Behaviors / RL Planning Applicants are expected to have a solid experience in handling Autonomy related tasks
remote-jobserver Remote
Senior, ML Engineer - Offline Perception Applicants are expected to have a solid experience in handling Data Loop and Simulation related tasks
Master Diesel Mechanic Applicants are expected to have a solid experience in handling Fleet Operations related tasks
remote-jobserver Remote
Ingénieur(e) “Staff" en apprentissage automatique — "BEV" Applicants are expected to have a solid experience in handling Autonomy related tasks