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Associate Machine Learning Developer; Summer

Job in Calgary, Alberta, D3J, Canada
Listing for: AltaML
Full Time, Seasonal/Temporary position
Listed on 2026-01-09
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 15000 - 20000 CAD Yearly CAD 15000.00 20000.00 YEAR
Job Description & How to Apply Below
Position: Associate Machine Learning Developer (Summer 2026)

Associate Machine Learning Developer (Summer 2026)

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This role is a 4‑month paid contract starting May 2026 and ending in August 2026, with the option to extend to 8 or 12 months.

Base Pay Range

CA $15,000.00 – CA $20,000.00 (one‑time stipend)

About Gov Lab.ai

We transform the way you think about applied AI. Teams are structured around projects for the public sector, guided by a Project Delivery Manager, Product Owner, and senior ML developers, delivering working models to support informed strategic decision‑making around the use of key AI technologies.

Job Role

As an Associate Machine Learning Developer, you will work on public sector ML projects and deliver real solutions to partners such as Service Alberta and other government levels. You will be placed on a team to work on specific use cases identified by our partners, using multiple tools and gaining experience in AI/ML and data processing fields.

Office & Resource

This opportunity is based in Canada and may require occasional work out of offices in Edmonton, Calgary, Toronto, or Waterloo.

Application Process
  • Step 1:
    Apply online
  • Step 2:
    Notification of next stage via email
  • Step 3:
    Online technical assessment (48‑hour timed)
  • Step 4: 45‑minute panel interview
  • Step 5:
    Background checks and offer
  • Step 6:
    Welcome to Gov Lab!
What You’ll Do
  • Participate in team planning sessions and educational presentations
  • Review the data to understand its overall scope and structure
  • Identify the right metric to measure model and project success
  • Pre‑process data in teams for analysis and model development
  • Uncover trends, insights, and key features to guide ML solution application
  • Develop models around available data and suggested problem set
  • Develop proof‑of‑concept working models for viable use cases
  • Explore novel solutions and detailed recommendations for model integration
  • Communicate and present team work to AltaML and public sector partners
  • Get familiarity with various data processing tools and exposure to AI/ML algorithms
  • Research and connect with cohort to gain domain knowledge and learn state‑of‑the‑art techniques
What You Bring
  • Enrolled in a post‑secondary degree program at the University of Alberta, University of Calgary (Masters only), University of Waterloo, or University of Toronto for the duration of the internship term
  • General knowledge of and experience developing in Python and data science libraries such as pandas, scikit‑learn, and matplotlib
  • Understanding of machine learning and software development concepts
  • Available to work 40 hours per week during the internship
  • Valid citizenship and/or work permit that legally allows full‑time work during the internship term
  • Nice to have: exposure to version control/Git, experience with a cloud platform (Azure, AWS, or GCP), ability to work independently and within a team, well‑developed communication skills, and ability to engage in client meetings and deliver professional presentations
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. If you require accommodations during the interview process, please let us know.

Location

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.

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Position Requirements
10+ Years work experience
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