Internship jobs in Canada

Explore internship jobs across Canada. Choose a location and read the full job details.

8,418 listings · 1,411 employers Counted Oct 26, 2026. How we count

About these jobs

Employers hiring include S M Software Solutions Inc (501 listings), Interior Health Authority (464 listings), Bridgepoint Maintenance (230 listings).

Common roles: Registered nurse, Software developer, Cleaner.

396 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	257
CAD / year	50,000.00	79
CAD / month	4,117.00	30
USD / hour	14.00	12

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 18% hybrid, 81% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Internship jobs in Canada

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Navigation & Machine Learning Engineering Intern (16 Months)
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Richmond Hill, ON · Canada - Richmond Hill, Ontario (Applanix)
- Full-time
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Richmond Hill, ON · Canada - Richmond Hill, Ontario (Applanix)
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Richmond Hill, ON · Canada - Richmond Hill, Ontario (Applanix)
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Trimble Inc.

Navigation & Machine Learning Engineering Intern (16 Months)

Richmond Hill, ON, Canada
Canada - Richmond Hill, Ontario (Applanix), Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Shape the Future of Autonomous Systems: Navigation & Machine Learning Engineering Intern (16 Months)

Apply your knowledge of machine learning technologies to cutting edge products and tackle complex engineering challenges. Joining Trimble Applanix, you will gain hands-on experience developing advanced firmware for real-time navigation systems while collaborating with a high-performing engineering team.

What Makes This Role Great:

In this role, you will be at the forefront of implementing cutting edge machine learning algorithms directly into navigation firmware, directly influencing system performance and shaping the future of autonomous positioning technology.

Key Exciting Responsibilities

Take part in machine learning development activities related to Trimble Applanix APX/AP+ firmware.
Drive critical engineering activities including debugging, data analysis, and algorithm implementation for real-time systems.
Develop software using industry standard development tools such as GIT and JIRA within an agile team framework.
Collect, structure, and organize high quality datasets to power continuous navigation model improvements.
Produce comprehensive technical documentation to support system level integration and ongoing development.

Essential Skills & Experience

Enrolled in a Masters or PhD program in Electrical Engineering, Computer Engineering, Aerospace Engineering, or Mechatronics Engineering.
Demonstrated experience with Google Tensor Python development.
Practical experience with TinyML library deployment in MCU environments.
Strong technical expertise in Kalman filtering and machine learning techniques.
Fluent software development skills using C/C++ languages in real-time and Linux environments.

Bonus Points For

Knowledge of system level integration and multi-component hardware/software development.
Proven ability to multi-task effectively in a dynamic, highly agile environment.
Strong presentation skills and ability to communicate technical findings clearly.

Logistics:

Location: Richmond Hill, Ontario (In-Office)

Travel Requirement: 0%

Start Date: May 2027

Why You'll Love Working With Us

At Trimble, we're not just a company that "does good" - we are a team dedicated to making a tangible, positive Real-World Impact.

We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.
Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work.
Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."

Navigation Engineering, Machine Learning Intern, TinyML, Kalman Filtering, C++, Python, Linux, Firmware Development, MCU, Applanix

How to Apply: Please submit an online application for this position by clicking on one of the Apply buttons located in this posting.

Join a Values-Driven Team: Belong, Grow, Innovate.

At Trimble, our core values of Belong, Grow, and Innovate aren't just words - they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.

Candidate Privacy Notices by Country

If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.

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More about this job

Responsibilities

The intern will develop and implement machine learning algorithms into real-time navigation firmware while collaborating with an agile engineering team. Responsibilities include debugging, data analysis, and creating technical documentation to support system-level integration.

Requirements

Candidates must be enrolled in a Master's or PhD program in Electrical, Computer, Aerospace, or Mechatronics Engineering. Essential qualifications include proficiency in C/C++, Python, Kalman filtering, and experience with TinyML or MCU environments.

Skills

Machine learning
Python
C++
Kalman filtering
Firmware development
TinyML
Linux
Git
Jira
Data analysis
Algorithm implementation
MCU environments
Technical documentation
System integration

Visa sponsorship

Not detected in the job text

Keywords

Navigation
Machine Learning
Firmware
Autonomous Systems
Python
C++
Kalman Filtering
TinyML
MCU
Linux
Git
Jira
Agile
Data Analysis
Algorithm Development
System Integration
Electrical Engineering
Computer Engineering
Aerospace Engineering
Mechatronics Engineering
Applanix
Trimble

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