Lead AI/ML & MLOps Engineer executing projects from data foundations to model deployment. Collaborating with sales to drive AI/ML engagements for our clients.
TR
Principal Machine Learning Engineer – Neural Rendering
Posted 2 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Applied ML Engineer working on AI - driven insights at Kaseya. Collaborating with product teams to enhance features with machine learning and data analysis.
Adversarial Machine Learning Engineer conducting adversarial testing and simulations on LLM - driven AI systems for enterprise security. Collaborating with teams to validate and document findings.
MLOps Engineer managing infrastructure for large 2D and 3D media datasets at NBCUniversal. Responsible for automation, reproducibility, and performance of machine learning lifecycles.
Senior ML Engineer leading the strategic direction of machine learning infrastructure for global food delivery platform. Collaborating with Data Science team for seamless model deployment and innovation.
Machine Learning Intern/Co - op at Cohere working on developing and training models for AI applications. Join a team focused on advancing AI technology in an inclusive environment.
Machine Learning Engineer designing and deploying detection ML systems for social engineering defense platform at Doppel. Collaborating to mitigate evolving digital threats using AI.
Senior Software Developer responsible for designing and developing solutions in data engineering and machine learning. Collaborating with teams to deliver scalable software solutions with agile methodologies.
Senior ML Engineer responsible for designing and building ML pipelines for a Trust Scoring platform. Involves productionizing models and implementing MLOps best practices.
Principal Machine Learning Engineer designing the core ML systems for AI agents at Workday. Collaborating in cross - functional teams to integrate ML solutions into the platform.