Machine Learning Intern, Fall 2026 (Internship) - 4… at BMO · Chicago

Summary: BMO is a financial group that emphasizes creating positive change for its customers and communities. They are seeking a Machine Learning Intern to research, build, and implement scalable AI systems while enhancing data pipelines and optimizing machine learning models. Responsibilities: - Researches, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements - Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models - Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models - Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools - Designs and develops machine learning (ML) and deep learning systems - Runs machine learning tests and experiments - Trains and retrain systems to prevent drift and optimize results - Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries - Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks - Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions - Develops ML algorithms to analyze huge volumes of historical data to make predictions - Runs tests, performs statistical analysis, and interprets test results - Focus may be on a business/group - Thinks creatively and proposes new solutions - Exercises judgment to identify, diagnose, and solve problems within given rules - Works mostly independently - Broader work or accountabilities may be assigned as needed - Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations Required Qualifications: - Foundational level of proficiency in Systems Thinking - Foundational level of proficiency in Mathematics, Statistics & Operations Research - Foundational level of proficiency in Critical thinking - Foundational level of proficiency in Creative reasoning - Foundational level of proficiency in Computational Thinking and Programming - Foundational level of proficiency in Deep Learning - Foundational level of proficiency in Machine Learning - Foundational level of proficiency in Scaling Models - Foundational level of proficiency in Continuous Integration and Continuous Delivery/Deployment - Foundational level of proficiency in ML algorithm - Verbal & written communication skills - Collaboration & team skills - Analytical and problem solving skills - Motivated individuals with a strong desire to learn - Specialized knowledge from education and/or business experience Required Skills: Machine Learning, Deep Learning, Mathematics, Statistics, Operations Research, Computational Thinking, Programming, Continuous Integration, Continuous Delivery/Deployment, ML algorithms, Systems Thinking Internship Start Date: Start in 2026 Fall Benefits: Health insurance, Tuition reimbursement, Accident and life insurance, Retirement savings plans