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Machine Learning Engineer Intern Jobs in Calgary, AB

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 ...

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 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 ...

Exposure to integrating machine learning, generative AI, or LLM-based components into application features * Experience mentoring less experienced engineers Energy industry experience is not required ...

Exposure to integrating machine learning, generative AI, or LLM-based components into application features * Experience mentoring less experienced engineers Energy industry experience is not required ...

... machine learning. Direct experience in data warehousing, ETL/ELT processes, database design with strong verbal and written communication. Must have 5-8 years of experience as a data engineer ...

Data & AI Architect

Calgary, AB

CA$118.70K - CA$168.70K/yr

AI & Machine Learning Architecture * Architect and implement machine learning and AI systems ... Data engineering: Spark, Databricks, Snowflake, Synapse, BigQuery, or Redshift. * Data ...

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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.
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:
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.
Senior Staff AI Framework Backend Engineer

Senior Staff AI Framework Backend Engineer

Amd

Calgary, AB • On-site

Full-time

Posted 28 days ago


Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

24th of 137 rated electronics manufacturers


Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

Responsibilities

SMTS - AI FRAMEWORKS BACKEND INTEGRATION ENGINEER 

THE ROLE: 

AMD is seeking an experienced AI Backend Integration Engineer to drive the performance and scalability of our deep learning platforms. This role involves working at the intersection of high-performance computing and machine learning frameworks, ensuring optimized execution of AI models across various hardware architectures. The ideal candidate will have deep expertise in systems programming (C++/Python), a solid understanding of parallel computing principles, hands-on experience working with deep learning libraries like MIOpen, hipDNN, or equivalent libraries such as cuDNN, and experience working in the backend integration of a framework like PyTorch, JAX, or ONNX Runtime.

THE PERSON: 

The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.  Comfortable navigating large, multi-team codebases for dealing with the ambiguity where the code boundaries meet.

KEY RESPONSIBILITIES: 

  • Design, develop, and implement the integration of low-level backend libraries (e.g., cuDNN, MIOpen, hipDNN) into high-level AI frameworks like PyTorch and TensorFlow.
  • Identify and resolve complex issues related to model execution, data flow, and performance bottlenecks within the integrated systems.
  • Implement best software engineering practices, including code reviews, comprehensive testing (unit and integration), and detailed technical documentation for all integrations and optimizations.
  • Work closely with data scientists, ML engineers, and other software development teams to translate research ideas and model requirements into robust, production-ready systems.
  • Stay abreast of the latest advancements in AI/ML research, GPU technology, and related software ecosystems to propose and implement cutting-edge solutions.
  • Leverage AIassisted development tools to accelerate analysis, integration validation, and documentation, while ensuring correctness and traceability. 

PREFERRED EXPERIENCE: 

  • Expertise in C++ and Python is essential for performance-critical applications and general AI development.
  • Strong hands-on experience with major deep learning frameworks such as PyTorch and TensorFlow including their backend integrations.
  • Strong understanding of system performance, parallel computing principles, and memory management.
  • Experience with Linux and Windows operating system development 
  • Familiarity with modern software development tools and practices, including version control (Git) and CI/CD pipelines.
  • Applied experience using AIassisted coding tools in professional software engineering workflows, including code generation, refactoring, test creation, documentation, and design exploration.   

ACADEMIC CREDENTIALS: 

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent 

#LI-DR1

Qualifications

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's "Responsible AI Policy" is available here.

 

This posting is for an existing vacancy.

Employment Type: FULL_TIME