Machine Learning Research Engineer developing AI solutions at RBC Borealis, focusing on innovative machine learning projects. Join a team of experts in applying machine learning to real - world problems.
About the role
- ML Engineer advancing AI systems for manufacturing operations through collaboration and innovation. Play a pivotal role in developing solutions in a dynamic research environment.
Responsibilities
- Collaborate with a lead researcher on modeling decisions, structured experiments, and paper development
- Implement and maintain policy training code for methods such as ACT, Diffusion Policy, Pi0 fine-tuning/OpenPi, and relevant baselines
- Independently read and implement new methods from recent papers
- Run ablation sweeps, generate comparison tables/plots, and analyze experimental results
- Maintain an evaluation harness to ensure reproducibility across runs
- Conduct literature sweeps and organize related-work documentation
- Draft and iterate on methods, experiments, and related-work sections for technical writing
- Review training code from robotics engineers as needed
Requirements
- MS, PhD in Machine Learning, Robotics, Computer Science, or a closely related field
- 2–5 years of industry experience as an ML engineer
- At least one first- or co-author paper published at a credible ML or robotics venue (e.g., CoRL, RSS, ICRA, NeurIPS, ICML, ICLR)
- Strong proficiency with PyTorch and distributed training for ML models
- Hands-on experience with imitation learning, reinforcement learning, or vision-language-action (VLA) methods for sequential decision-making
- Proficiency with Docker for reproducible ML and research workflows
- Ability to design and structure ablation studies for ML experiments
- Ability to read recent ML/robotics papers and implement methods independently
- Experience fine-tuning vision-language-action (VLA) models
- Robotics manipulation background
- Contributions to OpenPi or LeRobot projects
- Familiarity with advanced ML research workflows
- Experience collaborating with cross-disciplinary teams in industrial automation
Benefits
- Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation.
- Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption.
- Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.
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