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Internship Algorithm Engineer Intern Jobs in Ontario

Internship/Co-op (Full-time/Hybrid) Departure and Arrival Date (Start -End): September 2026 ... Data Modeling & Engineering: Build and maintain robust semantic models for both BI and AI ...

CA$33 - CA$36/hr

... our algorithms. As a Hardware R&D Research Intern, you'll support internal and external human ... The internship duration is 3-4 months , with flexible start and end dates between May and September ...

Position: Product Development Intern/Co-op Number of Positions: 1 Duration: 4 months Date ... Engineering . You're a Great Fit If You Have: * Advanced understanding of optimization algorithms ...

For greater clarity, NO cash in-hand (in hourly rate or salary) will be paid to the Intern. Instead ... internship is engineered to award. DEI and Workplace Safety: At Vosyn Inc., we are committed to ...

The Engineering (ME & Design) Intern will be responsible for both Design Engineering and ... This dual-exposure internship is designed to challenge and develop your skills, broaden your ...

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Internship Algorithm Engineer Intern information

What is the difference between Internship Algorithm Engineer Intern vs Data Scientist Intern?

AspectInternship Algorithm Engineer InternData Scientist Intern
Required CredentialsComputer Science degree, programming skills, basic understanding of algorithmsComputer Science or related degree, statistical knowledge, programming skills
Work EnvironmentResearch and development teams, software development projectsData analysis, modeling, and visualization tasks
Employer & Industry UsageTech companies, AI firms, R&D departmentsTech companies, finance, healthcare, marketing
Common Search & ComparisonOften compared for technical depth and algorithm focusCompared for data analysis and modeling skills

The Internship Algorithm Engineer Intern typically focuses on developing and optimizing algorithms within tech and AI environments, requiring programming and algorithm knowledge. In contrast, Data Scientist Interns concentrate on analyzing data, building models, and deriving insights. Both roles are valuable in tech industries but differ in their core tasks and skill emphasis.

What are popular job titles related to Internship Algorithm Engineer Intern jobs in Ontario? For Internship Algorithm Engineer Intern jobs in Ontario, the most frequently searched job titles are:
What cities in Ontario are hiring for Internship Algorithm Engineer Intern jobs? Cities in Ontario with the most Internship Algorithm Engineer Intern job openings:
Tools and Automation SW Dev Co-op/Intern

Tools and Automation SW Dev Co-op/Intern

Nokia

Kanata, ON

Full-time

Posted 23 days ago


Nokia rating

8.6

Company rating: 8.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 79 rated telecommunications companies


Job description

Position:  Tools and Automation SW Dev Co-op/Intern

Number of Position(s): 1

Duration: 4 Months+  

Date:  - (Fall Term Sept 8th - Dec 18th, 2026)

Location: In office at 600 March Rd. Ottawa, Canada.

Education Recommendations: 

Currently a candidate for a Bachelor's, Master's degree, or Diploma in Engineering, Computer Science, or a related field with an accredited school in Canada

  • Experience with scripting languages (e.g., Bash/Shell, Perl, Python)
  • Knowledge of JavaScript and React
  • Familiarity with Java, Java APIs, and SQL databases
  • Proficiency working in a Linux environment
  • Solid grasp of object-oriented design, data structures, and algorithms

It would be beneficial if you also had:

  • Understanding of cloud platforms (OpenStack, Kubernetes, Docker, etc.)
  • Experience using automation tools (e.g., Ansible)
  • Knowledge of microservices and cloud-native architecture

As a part of our team, you will:

  • Build web applications, dashboards, and scripts to support internal initiatives.
  • Design, implement, prototype, and test new code and frameworks.
  • Apply and integrate industry-standard technologies such as Kubernetes, Helm, OpenStack, Flask, Django, and Python.
  • Contribute within an agile team structure and participate in team syncs to share progress and maintain alignment.
  • Enhance and expand functionality in existing frameworks.
  • Review system behavior to identify and address performance constraints.
  • Explore and assess automation technologies for potential implementation.