Machine Learning Engineer Intern (University, Paid, Level 1 to 3)

Note

If your school offers funding through a program, grant or scholarship towards companies' internship pay rates, part of the amount (subtracting intern costs) can be used for making the internship paid.

• 25-50$* hourly rate for 28 hours/week. - Can be offered as flexible part-time student researcher opportunity* for PhD students if needed. *Subject to the approval of MITACS related to the student's profile and supervisor.

Note

If your school offers funding through a program, grant or scholarship towards companies' internship pay rates, part of the amount (subtracting intern costs) can be used for making the internship paid.

Salary

• 25-50$* hourly rate for 28 hours/week. - Can be offered as flexible part-time student researcher opportunity* for PhD students if needed. *Subject to the approval of MITACS related to the student's profile and supervisor.

Working Conditions

• 4-day work week (28 hours/week). - Flexible schedule.

Qualifications

• Currently enrolled in a master's degree in computer science or a related field. ---> OR in a nonrelated master's degree (with courses or a minor) with a great self-made background in computer science. - Proficient in multiple programming languages, proven by self-made projects, contributions to small open-source repositories or advanced courses. - Expertise in Machine Learning and algorithmics.

Preferred Qualifications

• Currently enrolled in a master's degree from a recognized university and/or from Montreal. - Previous internship(s) in software development and machine learning, AI or closely related, all within university level. - Minimal research experience related to computer science and Machine Learning, through an assistantship, project based or thesis-based cursus and peer-reviewed publications. - Proven track-record of a contribution in Machine Learning (whatever if it is for charity, open-source, unpaid or paid tasks and whenever the timeframe of the experience). - Proficiency in: ---> Python ---> Applied Machine Learning (PyTorch/Tensorflow, Sklearn, Notebooks, Numpy, Pandas, etc.) ---> System Design ---> REST APIs ---> Basics in Web development (React, Python, Next.js, TypeScript, MySQL, Cordova (and/or any mobile converting framework), TailwindCSS, HTML5/CSS3). - Excellent communicator and cross-field collaborator (finance, legal, IT, CS, etc.). - Proficient with ambiguous tasks. - Autonomous and self-sufficient.

Overqualified But Welcomed Qualifications

• Currently enrolled in a doctorate degree (PhD) in computer science or related field. - Considerable research experience related to computer science, through an assistantship, project based or thesis-based cursus and peer-reviewed publications. - Experience in teaching as an assistant (TA), instructor/lecturer or teaching professor (cégep or university level). - Won competitions in a fast-paced setting (Kaggle, Hackathon, etc.).

Other Requirements

• CV and Portfolio needed to be considered. - Academic grades from Bachelor up to current degree.

Assets

• Academic or work references. - Large interest in front-end development.

Job Description

We are seeking a talented Machine Learning Engineer Intern to join our project. As an intern, you will collaborate closely with our team to develop and integrate AI-driven features into our applications. Your primary focus will be on designing and implementing Machine Learning models that enhance the functionality and user experience of our products. You will also work on optimizing algorithms and data pipelines to ensure efficient and scalable solutions. You will be knowledgeable in your field, and you will participate in the early foundations of the application while respecting the established technology stack. You will highly improve the daily life of end users by contributing to this project and its surroundings.

About Us

We believe that technology should enhance, simplify, and improve daily experiences. Our team of passionate innovators is committed to create software solutions that empower individuals and businesses alike. We understand that user-friendliness and accessibility are key, and we strive to design products that seamlessly integrate into your life. With a relentless focus on user experience, we aim to transform complex processes into intuitive, enjoyable interactions. Whether it's through our apps, websites, or services, we are dedicated to delivering solutions that enhance convenience, productivity, and overall satisfaction.