Associate Machine Learning Developer (Summer 2026)

Key Skills

Aartificial intelligence, AWS, Azure, Effective communication skills, Git, Google Cloud Platform (GCP), Machine learning techniques, matplotlib, Scikit-learn

Job Description

What You'll Do:

• Participate in team planning sessions and educational presentations
• Review the data to understand its overall scope and structure
• Identifying the right metric to measure the success of the model and project
• Work in teams to pre-process the data for analysis and model development
• Uncover trends, insights, and key features to help guide where ML solutions can be applied
• Develop models around the available data and suggested set of problems
• For viable use cases develop proof of concept working models
• Suggest and explore novel solutions to a problem and detailed recommendations for how to integrate the models in business
• Communicating and presenting your teams work to AltaML and Public Sector Partners
• Get familiarity with various data processing tools and exposure to AI/ML algorithms
• Independently researching and connecting with your cohort to gain domain knowledge and learn state-of-the-art techniques
• You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will be given resources and mentorship to help with your growth and career advancement.

What You Bring:

Minimum Requirements:

• Enrolled in a Post secondary degree program at U of Alberta, U of Calgary (Masters Only), U Waterloo, or U of Toronto for the duration of the internship term
• General knowledge of and experience developing in Python and data science libraries/packages such as pandas, scikit-learn, matplotlib
• Understanding of Machine Learning and software development concepts
• Must be able to work 40 hours per week during the internship
• Must have a valid citizenship and/or work permit that legally allows you to work full-time during the internship term

Nice to have:

• Exposure to version control/Git
• Experience with a cloud platform such as Azure, AWS or GCP
• Ability to work independently and within a team environment
• Well-developed communication skills, with the ability to engage in client meetings and deliver professional presentations

$15,000 - $20,000 one-time

Location: This posting is for an existing vacancy for a candidate ideally based in Toronto or Waterloo, Ontario.

Compensation: The expected compensation for this role is a Mitacs stipend award between $15,000 - $20,000 CAD for a 4 month term, dependent on qualifications, experience, and assessment performance.

First Nations Acknowledgment

As AltaML's head quarters are based in Edmonton, Alberta - AltaML would like to acknowledge that we are on the traditional lands, referred to as Treaty 6 Territory and that the City of Edmonton and all the people here are beneficiaries of this peace and friendship treaty. Treaty 6 encompasses the traditional territories of numerous western Canadian First Nations, including Cree, Dene (DEN–Ē), Stoney Nakota Sioux, Saulteaux (SO-TO), and Ojibwe (OJIB-WĒ). AltaML is dedicated to ensuring that the spirit of Treaty 6 is honoured and respected.

Equal Opportunities

AltaML is dedicated to fostering a safe, diverse, and inclusive workplace as an equal-opportunity employer. We welcome applications from qualified individuals of all backgrounds, encompassing ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and educational backgrounds. If you are invited for an interview and require accommodations during the interview process, please don’t hesitate to let us know.

AltaML acknowledges that its head office is located on Treaty 6 territory, and respects the histories, languages, and cultures of First Nations, Métis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.