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Machine Learning Engineer Intern Jobs in Alberta

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 ...

Finning

Data Engineer I

Calgary, AB · Hybrid

CA$70K - CA$85K/yr

Exposure to MLOps, machine learning, or advanced analytics * Experience with IoT, telemetry, or ... If you're a motivated early-career data engineer looking to build meaningful solutions and grow ...

Finning

Data Engineer I

Edmonton, AB · Hybrid

CA$70K - CA$85K/yr

Exposure to MLOps, machine learning, or advanced analytics * Experience with IoT, telemetry, or ... If you're a motivated early-career data engineer looking to build meaningful solutions and grow ...

Kyndryl

Senior Data & AI Consultant

Calgary, AB

Oversee delivery of end-to-end engagements spanning data engineering, machine learning, generative AI, and intelligent automation . * Ensure engagement quality, business alignment, and client ...

MongoDB

Software Engineer, Code Generation

Calgary, AB · On-site

MongoDB is seeking a Software Engineer with solid software engineering skills and a machine learning background. Joining this team, you'll be pivotal in a product engineering group dedicated to ...

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Machine Learning Engineer Intern information

See Alberta 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 Alberta 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 Alberta? The most popular types of Machine Learning Engineer jobs in Alberta are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Alberta? For Machine Learning Engineer Intern jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Alberta look for? The top searched job categories for Machine Learning Engineer Intern jobs in Alberta are:
What cities in Alberta are hiring for Machine Learning Engineer Intern jobs? Cities in Alberta with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Alberta as of May 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $120,739 per year, or $58 per hour.

Principal AI Security Engineer - Red Team

C-Serv

Calgary, AB • On-site

Full-time

Medical, Life

Posted 2 days ago

Job description

The Opportunity

We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations.

This is not a theoretical research role.

This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will be the Principal lead for the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance.

If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that.

What You’ll Do
  • Design and lead adversarial testing of LLM and AI-driven systems
  • Conduct threat modelling across model, infrastructure and data layers
  • Execute and oversee testing for:
  • Prompt injection
  • Jailbreaking
  • Model exploitation
  • Data leakage / extraction
  • RAG system manipulation
  • Translate findings into structured, audit-ready documentation
  • Map vulnerabilities and remediation pathways to:
  • ISO 27001 controls
  • SOC 2 Trust Service Criteria
  • ISO 27701 privacy controls
  • ISO 27017 cloud security controls
  • Partner closely with engineering, security, and compliance functions
  • Present findings clearly to executive leadership

This role ensures AI security findings integrated into enterprise governance frameworks.

Requirements

What We’re Looking ForCore Technical Depth
  • Strong understanding of adversarial machine learning
  • Experience red teaming LLM or AI systems
  • Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
  • Strong Python proficiency
Enterprise Security & Governance Fluency
  • Experience working within ISO 27001 environments
  • Practical knowledge of SOC 2 Trust Service Criteria
  • Understanding of ISO 27701 privacy extensions
  • Familiarity with ISO 27017 cloud security controls
  • Ability to map technical findings to control frameworks
Communication & Documentation
  • Ability to produce clear, structured, audit-friendly documentation
  • Comfortable presenting technical risk to executive audiences
  • Strong written and verbal communication skills
Who You Are
  • Systems thinker
  • Curious and adversarial in mindset
  • Comfortable identifying uncomfortable truths
  • Autonomous and fast-moving
  • Enterprise-aware, not just technically strong
  • Able to operate independently under executive leadership

You understand that security is about both breaking systems and integrating findings into operational and compliance posture.

You will be working remotely with travel to and from Seattle monthly.

Benefits

  • Comprehensive Private Medical Coverage
  • Support for Mental Health Expenses
  • Life Insurance Options
  • Attractive Compensation Package