ZipRecruiter

Log In

1

Machine Learning Engineer Intern Jobs in Richmond, BC

DataVisor

Software Engineer - Canada

Vancouver, BC · On-site

  • Medical

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... As platform engineers, we are building a next-generation machine learning platform, which ...

DataVisor

Software Engineer - Canada

Vancouver, BC · Remote

  • Medical

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... As platform engineers, we are building a next-generation machine learning platform, which ...

Stryker

Staff Engineer, Computer Vision

Burnaby, BC · On-site

CA$105K - CA$140K/yr

We are seeking a Staff Computer Vision Engineer to provide technical guidance and contribute to the ... Design, develop, train, and integrate advanced computer vision and machine learning solutions.

BDO Canada

AI Engineer

Vancouver, BC · On-site

CA$77K - CA$117K/yr

  • PTO

Your Opportunity As an experienced AI Engineer , you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this ...

Tigera

ML Engineer

Vancouver, BC

CA$160K - CA$180K/yr

We're a focused engineering team working on the hard parts: detecting agents at runtime ... The problems span machine learning, distributed systems, applied AI, and security research. We're ...

New

Cognitiv

Staff Software Engineer, Big Data

Vancouver, BC · On-site +1

  • Medical

  • PTO

Lead complex, cross-functional programs spanning Data Engineering, Machine Learning, Science, and ... Product teams. Align stakeholders, reduce execution risk, and deliver outcomes that improve ...

previous page

Showing results 41-60

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

Machine Learning Engineer Intern information

See Richmond, BC salary details

$23.1K

$121.5K

$216.8K

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

As of Aug 14, 2026, the average yearly pay for machine learning engineer intern in Richmond, BC is $121,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,896.00 and $164,978.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

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 is a machine learning engineer intern?

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 skills and qualifications are needed to thrive as a machine learning engineer intern?

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

Cities near Richmond, BC 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 Richmond, BC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,460 per year, or $58.4 per hour.

Software Engineer - Canada

DataVisor

Vancouver, BC • On-site

Full-time

Medical, PTO

Posted 17 days ago

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

Summary:

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.

As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.

We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space.

What you'll do:

  • Design and build machine learning systems that process data sets from the world's largest consumer services
  • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
  • Build and optimize systems, tools, and validation strategies to support new features
  • Help design/build distributed real-time systems and features
  • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
  • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Requirements

  • 1-5 years software development experience
  • 1-5 years experience in Java, Shell, Python development
  • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
  • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
  • Experience in the Spring Framework is a plus
  • Experience with test-driven development is a plus

Preferred Qualifications

  • Worked on multithreaded applications i
  • Experience in Shell and Python
  • Experience in Kubernates
  • Experience in CUDA development is a plus

Benefits

Health Insurance, PTO.

Apply