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Machine Learning Research Intern Jobs in Burnaby, BC

We have several research themes, including developing multi-modal, real-time agentic systems that ... Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning ...

... machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI-deeply embedded into Workday's platform-not research ...

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data ... industry research, tools and best practices * Build and maintain strong engagement with key ...

... of machine learning solutions, from data acquisition and feature engineering through ... This role is critical in driving the research and development of a merchant registry and profiling ...

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data ... industry research, tools and best practices * Build and maintain strong engagement with key ...

Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification ... Contribute to internal research and development initiatives focused on advancing geoscience ...

Staff Engineer, Computer Vision

Burnaby, BC · On-site

CA$105K - CA$140K/yr

Design, develop, train, and integrate advanced computer vision and machine learning solutions ... Partner with R&D, Product, Clinical, Quality, Regulatory, and cross-functional stakeholders to ...

Submit papers to top-tier academic conferences (ACL, EMNLP, NeurIPS) and contribute to the team's research culture. Skills you'll bring * Master's or PhD degree in Computer Science, Machine Learning ...

Communications Intern

Surrey, BC · Hybrid

CA$21.99 - CA$25/hr

... online research. * Draft and edit story content forinternal or external stories. * Support the ... Assistin organizingmeetings, events,and learning sessions that align withcommunications' goals.

Treasury Intern

Vancouver, BC · On-site

CA$39K - CA$44K/yr

We are seeking a Treasury Intern to join our Treasury team for an 8-month period commencing on ... Detail oriented when researching vendor information * Represent West Fraser's values when speaking ...

... machine learning algorithms, and the end-to-end MLOps lifecycle, including 5+ years of hands-on experience building and optimizing computer vision models or as a computer vision researcher. Proven ...

We have several research themes, including developing multi-modal, real-time agentic systems that ... Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and ...

Showing results 41-60

Machine Learning Research Intern information

See Burnaby, BC salary details

$19.1K

$122.4K

$223.6K

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

As of Aug 12, 2026, the average yearly pay for machine learning research intern in Burnaby, BC is $122,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,705.00 and $173,353.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What cities near Burnaby, BC are hiring for Machine Learning Research Intern jobs? Cities near Burnaby, BC with the most Machine Learning Research Intern job openings:
Infographic showing various Machine Learning Research Intern job openings in Burnaby, BC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $122,421 per year, or $58.9 per hour.

Applied Scientist

Dialpad

Vancouver, BC • On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Your role
As an Applied Scientist at Dialpad, you'll be an integral part of our AI team, conducting R&D to power the next generation of autonomous voice agents and delivering features for transcribed voice and chat message data in the business communications domain. We have several research themes, including developing multi-modal, real-time agentic systems that can listen, reason, and take action during live customer interactions. We are also developing real-time knowledge retrieval models to power live coaching features for customer support and sales agents. Beyond the technical skills, we are a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems. Collaboration will be key as you work alongside our engineering, design, and product teams to build groundbreaking applications.

If you're passionate about language, AI, and contributing to a team that's changing the face of business communications, you'll find yourself right at home with us.

This position reports to the Manager of the NLP team and has the opportunity to be based in our Kitchener, ON, office.

What you'll do

  • Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning algorithms for Dialpad's products.
  • Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of the resultant business impacts.
  • Manage massive textual data sets.
  • Build advanced LLM-based features, including reasoning, multilingual and multimodal processing, and agents.
  • Collaborate with cross-functional teams, including engineering, product, and design, to effectively deploy and scale models and algorithms in production.
  • Submit papers to top-tier academic conferences and journals and contribute to the broader scientific community by reviewing submissions.

Skills you'll bring

  • Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields.
  • 2+ years of NLP industry experience for Master's degree holders or 1+ years for PhD degree holders.
  • Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and technologies.
  • A broad understanding of current LLM model architectures and techniques for tuning and optimizing LLMs.
  • Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.
  • Excellent communication and collaboration skills to effectively work in a multi-disciplinary team. 
  • Familiarity with version control tools like Git for collaborative projects.