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Senior, ML Engineer - Neural Rendering

Job in Toronto, Ontario, M5A, Canada
Listing for: Torc Robotics
Full Time position
Listed on 2026-02-28
Job specializations:
  • Engineering
    Robotics, Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 160800 CAD Yearly CAD 160800.00 YEAR
Job Description & How to Apply Below
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  Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.
What You’ll Do   Implement the latest research advances in Neural Rendering and generative models
Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations
Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training
Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
Own development projects in the team – From research, design, to implementation, testing and deployment
Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.
Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.
What You’ll Need to Succeed   Proficiency in Python and deep learning frameworks such as PyTorch.
PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software.
Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.

Experience with VDI and cloud based machine learning development environments.
Expected to drive alignment across team interfaces to the rest of the organization.
Designs, maintains and owns team technical solutions and drives consensus.
Mentors and guides engineers within the group.
Bonus Points!

Experience with autonomous driving or robotics perception in production environments.
Proficiency with CUDA programming for efficient rendering of large-scale scenes
Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals

Experience with MLOps and infrastructure tools (Ray)
Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
Handling of Autonomous Driving Sensors – Multipletimestamp, multiple sensor data from cameras, lidars, and radars
Perks of Being a Full-time Torc’r  Torc cares about our teammembersand 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…
Position Requirements
10+ Years work experience
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