Machine Learning Engineer jobs in Canada

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. Torc has spent over a decade commercializing our solutions and is focused on developing software for automated trucks to transform how the world moves freight. We are part of the Daimler family and collaborate with a network of partners.

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.

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

• Develop and optimize behavior level ML models
• Implement model-architectures for Agent Prediction and Ego Motion Planning
• Perform fine-tuning of ML models for motion prediction and planning
• Develop metrics and evaluation pipelines related to the motion prediction and planning tasks
• Utilize data science techniques to analyze model performance, data distributions, and identify corner cases

Contribute to framework and infrastructure for Behavior level ML models""

• Develop efficient pipelines for large-scale data pre-processing and analysis
• Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness
• Contribute towards behavior simulation infrastructure

Model Deployment and Optimization

• Collaborate with conversion and deployment teams to ensure seamless integration
• Deploy 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 motion prediction and planning systems
• Work with product and operations teams to define performance metrics and improve system reliability

• Bachelor\'s degree in computer science, data science, artificial intelligence or related field with 5+ years of professional experience or a master\'s degree with 2-3+ years of experience
• Scientific understanding of machine learning for at least one of the following: 3D BEV space modeling; learned trajectory planning; autonomous driving end-to-end modeling; multimodal multitask machine learning
• Experience with understanding data distributions and analyzing long tail distributions
• Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment-ready standards
• PhD in machine learning or data science (preferred)
• Proficiency with Ray
• Proficiency with Hydra
• Proficient in writing CUDA kernels and developing custom PyTorch operations

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.

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.

Job ID: R-102374

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