Intern, Data Scientist - Computer Vision

At CN, we are committed to our pursuit of excellence. We take pride in delivering work of the highest standard, continually innovating to shape the railroad of the future. As responsible railroaders, we make the right decisions every time, putting safety first, acting with unwavering integrity, and holding ourselves accountable for our actions. We believe in succeeding together—by fostering inclusivity and collaboration, we sustainably deliver exceptional results for our customers.
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Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Scientist - Computer Vision position in Montreal, QC from May - Aug 2025.

Job Summary

The Intern, Data Scientist - Computer Vision is responsible for working on CN's Automated Train Inspection (ATI) program and support the development and evaluation of the Machine Learning (ML) and Computer Vision pipeline. The incumbent assists with the automation of the image annotation process and explores training of neural networks leveraging small datasets. The position ensures consistency across image annotations for the ML and Deep Learning (DL) models training.

Major Responsibilities

· Perform research on efficient learning algorithms that require fewer manually labeled data sets such as Active Learning, Semi-Supervised learning, and Few-Shot Learning

· Publish research findings to ML conferences might be a possibility

· Support Data Scientist and ML Developer on the design and development of ML Solutions

· Translate the technology solution architecture into engineering and software development standards and specifications

· Apply and ensure compliance with appropriate CN Information and Technology (I&T) standards, including Security, Architecture, Project Delivery Methodology, Sarbanes-Oxley (SOX), Telecom, and Software Engineering

· Conduct code reviews and ensure coding standards

Requirements

· Experience with Python, Shell, and other scripting languages

· Knowledge of DL frameworks such as Pytorch, Tensorflow, and Keras

· Knowledge of Computer Vision for Objects Detection, Segmentation, and Classification

· Applies critical thinking

· Communicates with impact

· Solves problems to create value

· Experience in Active Learning, Semi-Supervised Learning, and Few-Shot Learning algorithms*

Education

· Working toward a Bachelor's Degree, Master's Degree or Ph.D. Degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study

*Any experience/education/skills/knowledge for these above would be considered as an asset

About CN

CN is a premium railroad that sustainably generates value for our customers, shareholders, employees, and stakeholders with an unwavering commitment to safety and service. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. CN's network connects Canada's Eastern and Western coasts with the U.S. South through an 18,800-mile rail network. CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN powers the North American economy and is committed to programs supporting social responsibility and environmental stewardship.

At CN, we are dedicated to building North America's safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don't apply unless they feel they fit the job posting at 100%. Even if you don't see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.

As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.