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Machine Learning Intern Jobs in Richmond, BC (NOW HIRING)

ProCogia

LLM Research Intern

Vancouver, BC

... Intern to join our Vancouver team. This is a hands-on research and engineering role for someone ... Hands-on experience with machine learning or deep learning through research, coursework ...

Fraser Academy

Learning Specialist

Vancouver, BC

CA$52K - CA$80K/yr

As a member of the Learning Services team and an Orton Gillingham trained educator, you will be involved in creating individualized student learning plans and designing and implementing lessons to ...

Fraser Academy

Learning Specialist

Vancouver, BC · On-site

CA$52K/yr

As a member of the Learning Services team and an Orton Gillingham trained educator, you will be involved in creating individualized student learning plans and designing and implementing lessons to ...

2K

Gameplay Systems Software Engineer

Burnaby, BC · Hybrid

CA$71K - CA$105K/yr

Familiarity with procedural generation or machine-learning-assisted approaches for agent behavior ... or intern roles will not be eligible for many of these payments or benefits. Details of ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Richmond, BC

Machine Learning Intern information

See Richmond, BC salary details

$9

$47

$89

How much do machine learning intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine learning intern in Richmond, BC is $47.41, according to ZipRecruiter salary data. Most workers in this role earn between $38.69 and $52.96 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.

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What cities near Richmond, BC are hiring for Machine Learning Intern jobs?

Cities near Richmond, BC with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Richmond, BC as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,619 per year, or $47.4 per hour.

AI Solutions Intern (4-Month Contract)

Vancity

Vancouver, BC

CA$27.85/hr

Full-time

Posted 5 days ago

Job description

Our Story & Purpose:
We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.
 
As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,700 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!
 
Your Role in Supporting Our Members:
As an Artificial Intelligence (AI) Intern, you will join Vancity’s AI team to help identify, validate, and scale responsible AI and Generative AI use cases that create meaningful member and business value. Working alongside Senior Engineers, Managers, and Senior Managers, you will gain hands-on experience supporting AI initiatives from idea generation and experimentation through to deployment. You will contribute to proof-of-concept development, machine learning and Generative AI experimentation, data preparation, and solution evaluation while learning how enterprise AI solutions are delivered within a regulated environment. We are seeking curious, innovative, and results-oriented students who enjoy solving complex problems and exploring emerging technologies.
 
This is a Full-time, Temporary role based at our Vancity head office and will report directly to the AI Manager or Data Science Manager. This 4-month internship runs from September to December. While this position provides a hybrid work arrangement, you will be expected to be on-site for events and business demands
 
How You'll Make an Impact:
  • Researching and assessing AI use case feasibility across Machine Learning and Generative AI opportunities
  • Exploring, cleaning, and transforming data to support proof-of-concept experiments and model development
  • Building and evaluating machine learning and Generative AI solutions using a variety of techniques and tools
  • Experimenting with prompts, embeddings, retrieval approaches, fine-tuning methods, and classical machine learning models
  • Participating in scrum ceremonies including stand-ups, sprint planning sessions, reviews, and demonstrations
  • Supporting deployment activities using cloud-based AI platforms, Azure services, Databricks, and MLOps concepts
  • Documenting technical findings, trade-offs, and recommendations to support decision-making
  • Collaborating with engineers, data scientists, project managers, and business stakeholders across AI initiatives
  • Applying responsible AI principles while exploring innovative solutions to business challenges
What You’ll Bring to the Team:
  • Current enrollment in or recent graduation from an undergraduate or graduate program in Computer Science, Software Engineering, Data Science, Data Engineering, Mathematics, or a related discipline
  • Eligibility for a co-op, internship, or work-integrated learning opportunity
  • Understanding of machine learning fundamentals including supervised and unsupervised learning concepts
  • Familiarity with Generative AI concepts including Large Language Models, prompt engineering, embeddings, and Retrieval-Augmented Generation
  • Experience using Python for analysis, experimentation, or application development
  • Basic experience with SQL, data manipulation tools, notebooks, or data preparation techniques
  • Interest in cloud computing, AI deployment, and production AI systems
  • Ability to work effectively in a fast-paced environment with changing priorities and competing demands
Extra Skills That Set You Apart:
  • Experience or coursework related to Azure, Azure Machine Learning, Azure AI Studio, Azure Foundry, or Azure DevOps
  • Familiarity with Databricks, Spark, data engineering pipelines, CI/CD, or MLOps concepts
  • Experience with hackathons, internships, APIs, cloud infrastructure, Power Automate, Power Apps, or personal AI projects
You’ll Thrive Here If You Are:
  • Results-Oriented – You balance experimentation with delivering meaningful outcomes and practical solutions.
  • Critical Thinking – You assess feasibility, trade-offs, and limitations when evaluating opportunities.
  • Problem-Solving – You can break down complex and ambiguous problems into manageable components.
  • Curious & Innovative – You enjoy exploring emerging technologies, experimenting with new ideas, and continuously learning.
We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.
 
What You’ll Earn:
This role offers a pay range of $27.85 per hour.
 
**Application Deadline: August 21st, at 3:00pm.**
Will remain posted until filled
Vancity Talent Programs:
Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.
 
This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process, including the application stage, we encourage you to let us know. We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.

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