1

Machine Learning Intern Jobs in Alberta (NOW HIRING)

Design and implement forecasting models to predict future trends and utilize machine learning ... Opportunities to partake in initiatives such as the Intern Social Committee Check out our ...

Showing results 21-24

Machine Learning Intern information

See Alberta salary details

$9

$47

$88

How much do machine learning intern jobs pay per hour?

As of Sep 6, 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 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 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 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 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 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 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, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $98,034 per year, or $47.1 per hour.

Engineering Student - Technology and Innovation

Canadian Natural

Calgary, AB • On-site

Full-time

PTO

Posted 20 days ago


Job description

The Opportunity:

Are you a student looking for an exciting opportunity that is full of meaningful, diverse, and ambitious assignments working alongside industry leading professionals? Join Canadian Natural, where we strive to provide opportunities based on your abilities, helping you to contribute in a meaningful way and apply your academic experience to challenging and rewarding projects!

As a Technology and Innovation Engineering student, you will have the unique opportunity to be central to one of the world's largest Oil and Gas operator and gain valuable hands-on engineering experience. This is a chance to work in a group that touches all aspects of our operation including production, optimization, recovery, and the environment. This role offers a unique blend of engineering, innovation, digital transformation, and intellectual property experience. You will work alongside technical experts, business stakeholders, technology developers, and external partners to assess new technologies, support joint industry projects, and advance innovation across the organization.

Take advantage of the opportunity to expand your technical knowledge, work across multiple engineering disciplines, and contribute your own innovative ideas as we explore solutions for the future of energy.

  • Job location: Calgary, AB 
  • Work schedule: 5 days on, 2 days off, working Monday to Friday
  • Term length: 12 months
  • Term starts: May or September 2027
  • Safety sensitive position: Yes

Key Accountabilities:

  • Provide technical support of data analysis and assistance for the preparation of various applications
  • Create reports regarding new technologies in various disciplines
  • Conduct preliminary technology assessments to determine potential value, applicability, and business impact
  • Execute small projects related to Technology and Innovation
  • Support collaboration initiatives with external organizations, including industry associations, technology developers, research organizations, and academic institutions
  • Support digital and AI initiatives through data wrangling, SQL analysis, machine learning projects, coding assignments, and Power BI dashboard development
  • Maintain and update technology and project databases, ensuring accurate tracking of innovation initiatives

What You Bring to The Role:

  • Currently enrolled in a bachelor's degree program in Chemical or Mechanical engineering, all other engineering disciplines will be considered
  • Familiarity with Microsoft suite of products is considered an asset (Word, Excel, PowerPoint, Power BI)
  • Positive attitude and eagerness to learn
  • Proficiency with Microsoft Excel; experience with Power BI, Spotfire, SQL, or Python is considered an asset.
  • Required to be physically and mentally fit for work
  • Possess a valid Class 5 Alberta driver's license or equivalent out of province license
  • A pre-employment drug screening test must be successfully completed

What We Offer:

  • Competitive salary
  • Paid time off during Christmas week and summer Fridays in July and August
  • Students may be eligible for relocation assistance pursuant to Canadian Natural's Student Relocation Policy (students will be responsible for finding their own accommodations during the work term) 
  • Multiple volunteer opportunities within the community
  • Opportunities to partake in initiatives such as the Intern Social Committee

Check out our COMPENSATION & BENEFITS overview to see what we have to offer!

If you are interested in this exciting student work term opportunity, please include your resume, cover letter and unofficial transcripts as part of your online application.

 All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions.

We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted. This posting will close once a successful candidate has been selected.

Canadian Natural operates one of the largest Campus Recruitment programs in the country, hiring over 400 students every year. Students hired on with us are made to feel a part of the team, gaining high level experience, knowledge, and training that introduces and prepares them for full-time employment. 

We are proud to share that Canadian Natural has been ranked as a Top Employer for 2023, 2024 and 2025 by Canada's Future Workforce and also one of Forbes' Canada's Best Employers in 2025 and 2026.

Industry Leader: We commenced business in 1989 with a handful of employees and modest production, but today we employ more than 10,000 people and produce over 1 million BOE/d. 

Community Investment: Social responsibility is a critical element of our commitment to responsible operations and part of our success and pride as a Company. We are committed to investing in the communities where we live and work, creating shared value along the way.

Compensation and Benefits: We strive to share Company success with all employees through a comprehensive total compensation package.

Our People, Our Stories: Our stories demonstrate the strong culture that exists at Canadian Natural - one that focuses on developing people, working together and doing it right, with fun and integrity.

Check out some of our Student Testimonials!