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Machine Learning Intern Jobs in Alberta (NOW HIRING)

Machine Learning Intern information

See Alberta salary details

$9

$47

$88

How much do machine learning intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for machine learning intern in Alberta is $47.13, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $52.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Alberta?

The most popular types of Machine Learning jobs in Alberta are:

What job categories do people searching Machine Learning Intern jobs in Alberta look for?

The top searched job categories for Machine Learning Intern jobs in Alberta are:

What cities in Alberta are hiring for Machine Learning Intern jobs?

Cities in Alberta with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,034 per year, or $47.1 per hour.

Learning and Development Intern (12 month contract)

CAWST

Calgary, AB โ€ข Hybrid

Full-time, Contractor, Internship

Posted 11 days ago


Job description

Company Description

CAWST is a Canadian charity and licensed not-for-profit professional engineering consultancy teaching people how to bring safe drinking water, sanitation and hygiene in their homes, schools and clinics, using simple, affordable technologies.

At the heart of everything we do is our belief that when people have their basic water and sanitation needs met, they have the opportunity to succeed. Together with a global network of more than 2,100 clients and partners, we reached over 47 million people in 2025 alone — and our job isn't done yet.

Benefits of Working at CAWST

  • A meaningful role, making a difference every day for people living without basic water and sanitation.

  • A workplace culture where collaboration and innovation are fostered.

  • Rich on-the-job experiences and professional development opportunities.

  • Strong promotion of work-life balance and flexible work environment.

Job Description

Do you dream of your work making a difference in the world? CAWST is looking for an organized, curious, and passionate self-starter to join our Global Services team as a Learning & Development Intern.

This role will be connected to projects that support all of Global Services, with opportunities based on alignment between your skillset and the needs of our organization. The scope of work may include:

  • Learning administration — course set-up and support

  • Knowledge management — metadata, cataloguing, and organizing our resource library

  • Measurement — pulling and analyzing data from annual surveys, web analytics, and training evaluations

  • Research and creation of technical briefs and case studies

  • Development of learning assets and tools — online modules, presentations, lesson plans, activity guides, and more

Past interns have led independent projects and initiatives alongside their ongoing learning and Global Services work, and have connected with cross-functional teams including Fund Development, Marketing, and Digital Services.

Position Details

  • Location: This position requires you to be located in Calgary. You must be available to work from our Calgary office for at least four days per week (Monday to Thursday), with flexibility to work from home on Fridays. 

  • Position Type: Full-time, Fixed-term Contract (12 months)

  • Start Date: September 1, 2026

  • Compensation: Hourly, $24.50 per hour

Please note, to be considered for this role you must have Canadian work authorization that is valid for the full contract duration. 

Qualifications

This position is open to all education levels and areas of study — we're focused on enthusiasm and fit with our team culture, not a specific degree.

We're looking for someone who is:

  • Passionate and committed to CAWST and our cause

  • A clear communicator with strong research skills

  • Creative and innovative, with an eye for graphic design

  • Self-motivated and a self-starter, comfortable taking initiative

  • Organized, accountable, and a strong team player

  • Ability to conduct self-directed learning is key to success.

  • French or Spanish fluency is an asset but not a requirement.


Additional Information

When applying, please include:

  • A cover letter that tells us more about you past what we can see on your resume, and why you are excited to work with CAWST. Applications missing this requirement will not be considered.

    • Please note: Your application will be read by real humans on our team, not a bot. We'd rather read a genuine note from you than a formal letter composed by AI (we can tell). 

  • Your resume

CAWST values equitable opportunities, sustainable solutions, and collaborative and inclusive processes. CAWST recognizes and accepts differences in cultural, religious, and political processes and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.