ML Engineer, II - Perception bei Torc Robotics

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.

Fluency in English is required, as the selected candidate will collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English. 

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.  

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. 

Job ID:  R-102373