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Internship Machine Learning Jobs in Toronto, ON (NOW HIRING)

This internship provides an opportunity to develop practical skills in full stack development and ... Exposure to AI applications, LLM APIs, or machine learning projects. * Contributions to open-source ...

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

Work with LLM APIs, machine learning models, and automation pipelines to support intelligent ... Internship, co-op, academic project, or personal project experience in software engineering, AI/ML ...

Software Development Intern

Toronto, ON · Hybrid

CA$23 - CA$25/hr

Interest or experience working with machine learning and/or data analytics WhatWe'reOffering: The hourly pay range for this position is $23to $25, and the internship term runs fromSeptember to ...

... interns; foster a culture of scientific rigor and rapid experimentation. - Stay current with ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Internship beginning as soon as possible, extending 12 to 16 months. At Gerdau our employees are ... This program is for individuals with high learning agility and willingness to adapt and develop ...

Intern, AppOps - Fraud

Toronto, ON · Hybrid

CA$23 - CA$25/hr

Comfortable with learning and working effectively either independently or with groups ... Containers or Virtual machines * IAC (Infrastructure as Code) tools (Terraform, Ansible, Cloud ...

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Internship Machine Learning information

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Internship Machine Learning jobs in Toronto, ON? For Internship Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning jobs in Toronto, ON look for? The top searched job categories for Internship Machine Learning jobs in Toronto, ON are:
Infographic showing various Internship Machine Learning job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Associate Researcher, Design and Manufacturing

Associate Researcher, Design and Manufacturing

Autodesk

Toronto, ON

Full-time

Posted 24 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 202 rated software companies


Job description

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

As an Associate Researcher, Design and Manufacturing on the Industry Futures team at Autodesk Research, you will be doing applied research that bridges the digital and physical worlds. Our team works at the intersection of manufacturing and AEC, imagining how AI-driven physical processes could reshape the way things are made -- and getting our hands dirty to test those ideas through real-world experimentation.

In this role, you will design and execute physical experiments in manufacturing settings, build data pipelines from sensor and equipment data, and develop and deploy machine learning models on edge devices in factory environments. You will work hands-on with manufacturing equipment, instrumentation, and embedded systems while applying rigorous computer science and data science methodology. This role is ideal for someone early in their career who has a strong foundation in computer science and a genuine passion for manufacturing and the physical world.

This role will report to a Research Manager on the Industry Futures team.

Given the physical experimentation component of the work, you will be expected to work on-site at Autodesk's Toronto office 4x/week.

This is a 1 year contract position.

Responsibilities

  • Design, instrument, and execute physical experiments in manufacturing environments to generate structured, high-quality datasets

  • Develop data acquisition and processing pipelines for sensor data, machine telemetry, images, and other physical-world signals

  • Train, optimize, and deploy machine learning models on edge computing platforms (e.g., NVIDIA Jetson, Raspberry Pi, industrial PLCs) in manufacturing settings

  • Collaborate with manufacturing partners and internal research teams to identify high-impact problems and translate them into well-scoped experiments

  • Analyze experimental results and communicate findings to researchers, engineers, and leadership through clear visualizations and written reports

  • Contribute to the development of research prototypes that demonstrate new AI-driven manufacturing capabilities

  • Stay current with advances in edge AI, IoT, manufacturing informatics, and applied ML

  • Write robust, testable code that is well documented and easy to understand

Minimum Qualifications

  • Recently completed a Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mechatronics, or a related field

  • Hands-on experience with Python and at least one ML framework (PyTorch, TensorFlow, or scikit-learn)

  • Comfort working with hardware, sensors, and physical experimental setups -- not just software

  • Basic understanding of data acquisition from physical systems (e.g., sensors, cameras, serial protocols, APIs)

  • Strong analytical and problem-solving skills with an ability to work through ambiguity

  • Excellent written communication skills to document experiments, code, and findings

  • Willingness to work in manufacturing or lab environments (not exclusively remote desk work)

Preferred Qualifications

  • Experience deploying ML models on edge or embedded devices (NVIDIA Jetson, Coral, microcontrollers, or similar)

  • Familiarity with manufacturing processes (CNC machining, additive manufacturing, injection molding, robotics, assembly, or quality inspection)

  • Experience with computer vision (object detection, defect classification, pose estimation)

  • Knowledge of IoT protocols and frameworks (MQTT, OPC-UA, ROS)

  • Experience with cloud services and architectures (AWS, Azure) for data storage and model training

  • Coursework, projects, or internships involving physical experimentation, lab instrumentation, or hardware-software integration

  • Knowledge of the design, manufacturing, AEC, or media and entertainment industries

  • Experience with Autodesk products (Fusion, AutoCAD, Inventor, or similar)

The Ideal Candidate

  • A curious builder who is equally comfortable writing Python as they are troubleshooting a sensor on a shop floor

  • A self-starter with the initiative to learn unfamiliar domains -- you don't need to be a manufacturing expert yet, but you want to become one

  • A creative, hands-on problem-solver who thrives in ambiguous, newly forming research areas

  • A strong communicator who can translate between the worlds of computer science and physical manufacturing

  • Someone energized by seeing their work run in the real world, not just in a notebook

Learn More

About Autodesk Welcome to Autodesk! Amazing things are created every day with our software -- from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk -- our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits by visiting https://benefits.autodesk.com/

Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Autodesk has always valued flexibility in how we work. We continue to provide employees flexibility to support their work preferences wherever possible and nearly all roles are hybrid or remote, unless otherwise indicated.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.

What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982