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Machine Learning Ai Intern Jobs in Alberta (NOW HIRING)

You will design and implement machine learning systems that operate directly on spatial datasets ... AI-powered spatial analytics and pattern detection systems that find signal in global-scale ...

AI/ML Engineer - Remote

Edmonton, AB ยท Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

AI/ML Engineer - Remote

Calgary, AB ยท Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Sr. AI Engineer

Calgary, AB ยท On-site

CA$91K - CA$114K/yr

AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset. Compensation: A ...

Intermediate Spatial Ecologist

Calgary, AB ยท On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects ...

Intermediate Spatial Ecologist

Calgary, AB ยท On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects ...

Problem-solve geoscience challenges using advanced machine learning and AI technologies, including Large Language Models (LLMs). * Develop and optimize AI/ML algorithms using accepted best practices ...

KEY RESPONSIBILITIES Data Science & AI Solutions * Develop and deploy statistical, machine learning, forecasting, optimization, and Generative AI solutions that improve customer outcomes and ...

KEY RESPONSIBILITIES Data Science & AI Solutions * Develop and deploy statistical, machine learning, forecasting, optimization, and Generative AI solutions that improve customer outcomes and ...

KEY RESPONSIBILITIES Data Science & AI Solutions * Develop and deploy statistical, machine learning, forecasting, optimization, and Generative AI solutions that improve customer outcomes and ...

Senior Software Engineer - Canada

Calgary, AB ยท Remote

CA$120K - CA$150K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Its patented unsupervised machine learning technology, advanced device intelligence, powerful ...

Mental Health Expert - Remote

Edmonton, AB ยท Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Showing results 21-40

Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Intern, and why are they important?

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

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

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

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

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

2027 Winter Student Opportunities RBC Borealis - Machine Learning Software Engineer, 4-8 Months

Calgary, AB โ€ข On-site

Rbc
Banking and Credit Intermediationย โ€ขย 10K+ employees

Full-time

Posted 24 days ago


Job description

Job Description

LOCATION: TORONTO, VANCOUVER, CALGARY

What's the opportunity?

We're looking for an enthusiastic software engineer who's excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Co-op Machine Learning Software Engineer, you'll be involved a project end to end - everything from data pre-processing to implementing machine learning algorithms and front-end development.

At RBC Borealis, you'll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at rbcborealis.com.

Your responsibilities include:

  • Building machine learning-based software solutions for solving important problems;

  • Collaborating with research and business teams to converge on the best solutions;

  • Optimizing algorithms and prototypical solutions for efficient implementation;

  • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;

  • Supporting projects with thorough documentation of usage, design decisions and capabilities;

  • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);

You're our ideal candidate if you:

  • Are working on a bachelors or masters degree in Computer Science, Computer Engineering, Software Engineering, or equivalent;

  • Have some software development experience (including co-op and internships);

  • Have experience with writing software in one of the major languages such as C++, C#, Java, Python;

  • Have familiarity with the Unix command line and bash scripting;

  • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;

  • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases is an asset;

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;

  • Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada's AI and data innovation. As part of Canada's largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we're at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

Required Documents: Resume and Academic Transcripts (unofficial are acceptable) in one PDF document
Please ensure you submit these two documents in one PDF document under the "resume" section. Do not submit them separately.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

EARLYTECHTALENT

Job Skills

Active Learning, Adaptability, Communication, Creativity, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Teamwork

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-17

Application Deadline:

2026-09-21

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.