Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
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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