Mitacs Research Intern - Machine Learning and Data Analytics - Internship Job Description

Sep 13, 2026

Uploaded by James

This internship role hires Mitacs interns for machine learning and data analytics work at Qi-Leap, a tech startup focused on innovative software and hardware solutions. The intern collaborates with researchers (PhD and Postdoctoral Fellows) to devise and test algorithms using real retail data, supported by partnerships with retail stores in Vancouver and other Canadian and international cities. The position requires an M.Sc./PhD in a technical field, strong analytical problem-solving and communication, programming fluency (e.g., Python, C++, Java, Matlab), and familiarity with machine learning. A May 15, 2016 start date and application via careers@qileap.com are specified.

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Title: Mitacs Research Intern: Machine Learning and Data Analytics Job Description: Qi-Leap [Inc. is](Inc. is) hiring several Mitacs ([www.mitacs.ca](www.mitacs.ca)) interns to ﬁll positions in machine learning and data analytics. We are looking for highly motivated individuals with strong background in analytical research and familiarity with machine learning algorithms and methodologies, who enjoy the challenges and beneﬁts of working at a cutting edge tech startup. Past exposure and involvement with projects with big data sets and devising and implementing machine learning algorithms is preferred. The intern will work together with a team consisting of other researchers (PhD and Postdoctoral Fellows) to devise and test algorithms based on real-life retail data. The devised algorithms will be tested in real world through the partnership we have with retail stores in Vancouver and a few other cities in Canada and abroad. Company Description: Qi-Leap has been founded with a mission to improve the quality of life by designing innovative software and hardware solutions. Our lead-team consists of MIT and UBCtrained researchers with expertise in data science, interactive design and innovation management. We work together with software developers and engineers to transform our solution into impactful real-life solutions and products. Required Qualiﬁcations: M.Sc./PhD in a technical ﬁeld (computer science, math, physics, engineering) Fluency in at least one of the programming languages- +2 years of experience (python, c ++, java, Matlab) Strong communication skills and team-work experience Proven problem solver with solid analytical skills Familiarity with machine learning Demonstrated ﬂexibility in adapting to a wide variety of tasks and functions Preferred Qualiﬁcations: Experience in implementing Recommender Systems Background in Behavioural Data Analytics Fluency in Python Familiarity with Deep learning algorithms Start date: As early as May 15, 2016 Please send applications to: [careers@qileap.com](careers@qileap.com)

FAQs

What will the intern do in this role?

Develop and test machine learning algorithms based on real retail data in collaboration with a research team.

What qualifications are required to apply?

An M.Sc./PhD in a technical field, strong analytical and communication skills, experience with at least one programming language (e.g., Python/C++/Java/Matlab), and familiarity with machine learning.

What start date and application method are provided?

The start date can be as early as May 15, 2016, and applications should be sent to careers@qileap.com.

Sep 13, 2026

Uploaded by James