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Machine Learning Engineer Intern Jobs in Calgary, AB

TELUS

L4 Technical Professional

Calgary, AB

You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...

Royal Bank of Canada

Staff AI/ML Engineer

Calgary, AB · On-site +1

Staff AI/ML Engineer What's the opportunity? We're looking for a seasoned Staff AI/ML Engineer to ... In this role you will own the end-to-end lifecycle of machine learning systems-from experimentation ...

TELUS

Senior Data Analyst (L4)

Calgary, AB · On-site

GCP Professional Machine Learning Engineer Certification * Working knowledge of leveraging Claude in the workflows * Experience with Google Vertex AI or Kubeflow for ML orchestration * Background in ...

TELUS

Staff Applied AI/ML Scientist

Calgary, AB · On-site

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

Data Elephant Inc

Senior AI / ML Engineer

Calgary, AB · On-site

Implement and operationalize machine learning models (training, deployment, monitoring) * Work with ... Strong programming and querying skills (Python, SQL, PySpark) * Experience building production ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Calgary, AB

Machine Learning Engineer Intern information

See Calgary, AB salary details

$23K

$120.7K

$215.5K

How much do machine learning engineer intern jobs pay per year?

As of Jun 1, 2026, the average yearly pay for machine learning engineer intern in Calgary, AB is $120,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $164,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
More about Machine Learning Engineer Intern jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Calgary, AB? The most popular types of Machine Learning Engineer jobs in Calgary, AB are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Calgary, AB? For Machine Learning Engineer Intern jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Calgary, AB look for? The top searched job categories for Machine Learning Engineer Intern jobs in Calgary, AB are:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Calgary, AB as of May 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $120,739 per year, or $58 per hour.

L4 Technical Professional

TELUS

Calgary, AB

Other

Posted 20 days ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 76 rated telecommunications companies

Job description

Description

Our team and what we'll accomplish together:

Our TELUS Advanced Data and Analytics team is seeking highly experienced and accomplished ML Engineer to join our team. In this position, you will be responsible for leading the development and maintenance of machine learning pipelines, including continuous integration, continuous monitoring and continuous deployment of ML models. You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques.

The ideal candidate has a deep understanding of data analysis, Cloud engineering, machine learning, NLP techniques, along with a proven track record of delivering impactful insights and solutions.

Responsibilities:

  • Develop and implement machine learning algorithms and models
  • Analyze and interpret large data sets to identify trends and patterns
  • Design and implement scalable and automated pipelines for model training, testing, and deployment
  • Collaborate with data scientists and software engineers to integrate models into production systems
  • Monitor model performance and implement strategies for model retraining and optimization
  • Implement best practices for version control, model tracking, and model governance
  • Ensure the security and compliance of machine learning systems
Qualifications
  • Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
  • Proven experience +5 years in developing and implementing machine learning models and algorithms for real-world applications
  • Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn
  • Solid understanding of statistical analysis, data mining, predictive modeling and Natural Language Processing techniques
  • Strong experience with data preprocessing, feature engineering, and dimensionality reduction techniques
  • Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working with relational databases
  • Strong problem-solving skills and the ability to think critically and analytically
  • Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to diverse stakeholders
  • Experience in leading and mentoring a team of data scientists is a plus

Join our team and contribute to the development of cutting-edge machine learning projects that will drive customer retention, segmentation, and sales increase. Apply now and be part of our data-driven journey towards success!

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