Machine Learning Intern, Fall 2026 (Internship) - 4 months

BMO•Chicago, IL

About The Position

As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below. Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO Social Squad student-led activities, BMO Academy corporate learning platform, and access to various Employee Resource Groups to further develop your network within BMO. Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent. Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/us/en/recent-grad-entry-level-us. To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

Requirements

Foundational level of proficiency: Systems Thinking.
Mathematics, Statistics & Operations Research.
Critical thinking.
Creative reasoning.
Computational Thinking and Programming.
Deep Learning.
Machine Learning.
Scaling Models.
Continuous Integration and Continuous Delivery/Deployment.
ML algorithm.
Verbal & written communication skills.
Collaboration & team skills.
Analytical and problem solving skills.
Specialized knowledge from education and/or business experience.

Nice To Haves

Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities.

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 retrains 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.