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Algorithm Engineer Intern Jobs in Vancouver, BC (NOW HIRING)

Visier Solutions Inc

Data Science Intern

Vancouver, BC · On-site

... algorithms and statistical techniques that generate business insights from human resource data ... This could be software engineering focused (e.g. enhancing our machine learning pipelines or ...

2K

Expert Gameplay AI Software Engineer

Burnaby, BC

CA$114.30K - CA$169.14K/yr

... algorithm expertise with a passion for team sports and a collaborative approach to working with ... or intern roles will not be eligible for many of these payments or benefits. Details of ...

All JobsAlgorithm Engineer Intern JobsAlgorithm Engineer Intern Jobs in Vancouver, BC

Algorithm Engineer Intern information

See Vancouver, BC salary details

$22.1K

$93.4K

$182.4K

How much do algorithm engineer intern jobs pay per year?

As of May 28, 2026, the average yearly pay for algorithm engineer intern in Vancouver, BC is $93,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,710.00 and $138,180.00 per year, depending on experience, location, and employer.

What does an Algorithm Engineer Intern do?

An Algorithm Engineer Intern develops, optimizes, and implements algorithms to solve complex problems in fields like machine learning, data processing, or computer vision. They work closely with experienced engineers to analyze large datasets, improve existing models, and write efficient code. Responsibilities may include researching new algorithmic approaches, debugging issues, and testing performance. This role requires strong mathematical skills, programming proficiency (commonly in Python, C++, or Java), and familiarity with data structures and algorithms.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer Intern position, and why are they important?

Excelling as an Algorithm Engineer Intern requires strong problem-solving abilities, proficiency in programming languages such as Python or C++, and a solid understanding of data structures, algorithms, and mathematics, often supported by ongoing studies in computer science or a related field. Familiarity with version control systems like Git, as well as experience with machine learning frameworks or relevant academic coursework, is typically expected. Excellent communication skills, a collaborative mindset, and eagerness to learn set candidates apart in this team-oriented environment. These skills are crucial to successfully contribute to real-world projects, adapt quickly, and effectively solve technical challenges in dynamic work settings.

What types of projects or tasks can I expect as an Algorithm Engineer Intern?

As an Algorithm Engineer Intern, you can expect to work on a mix of real-world projects, such as developing and optimizing algorithms, analyzing data sets, or assisting in research and prototyping. You may also help implement algorithmic solutions for existing products or services under the guidance of senior engineers and participate in code reviews and team meetings. Interns often collaborate closely with software engineers, data scientists, and other team members, gaining exposure to both technical and cross-functional work. These experiences provide valuable hands-on training and a springboard for future roles in software engineering or data science.
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Algorithm Engineer Intern jobs near you
Delivery Engineer Internship Spring/Summer 2026 - Canada

Delivery Engineer Internship Spring/Summer 2026 - Canada

DataVisor

Vancouver, BC • Remote

Full-time, Temporary, Internship

Posted 6 days ago

Job description

About DataVisor:


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 fraud and anti-money laundering (AML) solutions scale infinitely and enable 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 significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering 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

Our Delivery Engineering Team is looking for a Delivery Engineer intern (DEI), who is responsible for leveraging our state-of-art fraud detection SaaS products to solve our key clients' fraud and risk problems. You provide technical solutions and consultative services of our state-of-art fraud detection SaaS products to a portfolio of Fortune 500 customers in FinTech, Banking, E-commerce industries. From managing detection system performance to debugging product issues, you are an expert who can provide technical guidance and share best practices with customers on using our Machine Learning models, Rules Engine, and Device Intelligence Signals to detect fraud and risks. You work cross-functionally with Engineering and Product teams to implement new ideas to our analytics solution.

This position is ideal for those who are majoring in Computer Science or Computer engineering who would like to gain some hands-on experience in fraud detection and machine learning before graduation. This internship could lead to a full-time position after graduation.

Responsibilities


1. Work with the Solution Architect to design the delivery solution for the clients.
2. Onboarding for the new client or new use case of existing clients.
3. Coordinate with internal teams like R&D, infrastructure, algorithm and other teams, to debug and fix issues for the clients.
4. Coordinate with the vendors for any issue/requirement and fix/finish.
5. Coding for the integration with the client system.
6. Create documents for the process of each project, including design doc, architecture, training doc etc.

Requirements

  • BS/MS students majoring in Computer Science, Engineering or a related subject, Current Co-op students who will graduate in winter 2026 or summer 2027
  • Canadian citizen, permanent resident only
  • Experience with Linux, Ansible, Doker, K8S etc.
  • Experience with Mysql, kafka etc.
  • Experience with Spark, Hadoop, Clickhouse, Cassandra is a plus.
  • Experience with coding by Java/Python is a plus.
  • Strong communication skill.

Benefits

  • Gain valuable hands-on experience
  • Work closely with experienced professionals in the field
  • Opportunity to contribute to real projects
  • Flexible schedule and hybrid work
  • Competitive pay, range from 20-25 CAD per hour