Associate Machine Learning Engineer developing and deploying LLM and Agentic AI solutions for Manulife’s global financial services operations. Building data pipelines, APIs, and responsible AI systems.
TR
Principal Machine Learning Engineer – Neural Rendering
Posted 6 months ago
About the role
- Drive the implementation of state-of-the-art neural rendering and generative models for camera, lidar and radar simulation. Integrate and scale these systems in the cloud to enable robust verification and validation of autonomous trucks.
Responsibilities
- Implement state-of-the-art research advances in neural rendering and generative models
- Translate cutting-edge autonomous driving solutions into sensor simulations for cameras, lidars and radars
- Contribute to building a neural rendering framework that scales perception simulation and AV training (AV 3.0)
- Integrate the framework into a cloud environment and automate the pipeline to enable scalable verification and targeted validation of our autonomous trucks
- Own development projects within the team, from research to design, implementation, testing and deployment
- Design, implement, test and deploy production-ready deliverable software from early prototypes using disciplined software engineering processes
- Work within the cloud machine learning ecosystem alongside other related departments across the company
- Proactively assess current capabilities to identify areas for improvement and propose solutions aligned with core strategy and operations
- Demonstrate project management skills; lead and support less-experienced team members across multiple aspects of project execution, providing coaching and mentorship as needed.
Requirements
- Strong mastery of Python and deep learning frameworks such as PyTorch
- PhD or equivalent work experience of at least 6 years in related fields (Computer Science, Robotics, Electrical Engineering) with experience shipping production software
- Proven expertise in neural rendering (neural radiance fields and 3D Gaussian splats) and generative models (diffusion models, flow matching)
- Experience in graphics, 3D reconstruction or 3D computer vision
- Recognized as highly skilled and competent in their discipline; delivers complex, high-impact work with minimal supervision and a high degree of independent judgment
- Experience with virtual desktop infrastructure (VDI) and cloud machine learning development environments
- Expected to drive alignment between the team’s interfaces and the rest of the organization
- Designs, maintains and owns the team’s technical solutions and fosters consensus
- Mentors and guides engineers in the group.
Benefits
- Competitive compensation program including bonus and stock option components
- 100% employer-covered medical, dental and vision premiums for full-time staff
- Registered Retirement Savings Plan (RRSP) with a 6% employer match
- Flexible scheduling and generous paid time off (available immediately after the start date)
- Accidental Death & Dismemberment (AD&D) and life insurance
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