Machine Learning Research Engineer at RBC Borealis applying ML technology to complex problems with a focus on generative AI, NLP, and time series analysis.
About the role
- Research Engineer for Waabi, developing algorithms for world models in autonomous transportation. Collaborating with a team to deliver scalable and efficient AI solutions.
Responsibilities
- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems:
- Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.
- Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets.
- Build large scale data pipelines to build high quality datasets for training
- Ensure the quality, stability, and maintainability of the world model codebase and infrastructure.
- Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.
Requirements
- Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.
- Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.
- Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.
- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment.
- Bonus: Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).
- Experience with efficient model serving and deployment (e.g., ONNX, TensorRT).
- Publications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)
Benefits
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
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