BMO Capital Markets seeks an ML/AI Research Engineer to lead design and training of transformer-based foundation models, running experiments and building reusable tools. The role involves translating business objectives into production-ready deep learning systems, advancing research agenda, and collaborating cross-functionally.
Responsibilities
Lead the design, training, and scaling of transformer-based foundation models
Run rigorous experiments against strong baselines to improve model quality, speed, and reliability
Build reusable tools and pipelines that accelerate research iteration across the team
Advance the team's research agenda by tracking state-of-the-art research and identifying high-impact opportunities
Collaborate cross-functionally to evaluate model outputs in downstream applications and measure business impact
Develop domain expertise to inform modelling decisions and contribute to broader organizational initiatives
Requirements
Master's or Ph.D. in Computer Science, Engineering, Mathematics, or related quantitative field
5+ years of applied deep learning experience with end-to-end ownership of complex modelling initiatives
Strong proficiency in Python and PyTorch; familiarity with distributed processing frameworks (e.g., PySpark) is an asset