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Fall Machine Learning Co Op Jobs in Ontario (NOW HIRING)

Manulife

Winter Co-op 2027 - AI

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

As an AI Co-op, you'll gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You'll work with modern tools and datasets to explore and ...

Manulife

Winter Co-op 2027 - AI (12 Months)

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

As an AI Co-op, you'll gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You'll work with modern tools and datasets to explore and ...

Td

Data Science Intern/Co-op (WINTER 2027)

Toronto, ON · On-site

CA$45K - CA$74K/yr

Internship/Co-op Work Term: Winter/Term 2 Work Location: Toronto, Ontario, Canada Hours: 37.5 Pay ... Support the development of AI, machine learning, data science, and advanced analytics solutions

Posted today

Laurin

Student Co-op

Nepean, ON · On-site

CA$23/hr

We're seeking an Accounting Co-op Student who is eager to turn classroom learning into meaningful hands-on experience. This opportunity is ideal for a motivated student who wants broad exposure to ...

University of Toronto

Co-op Coordinator

Toronto, ON · On-site

The ECC team is credited with executing a highly successful work integrated learning program that ... Under the general direction of the Director, Employer Relations, the Co-op Coordinator will ...

University of Toronto

Co-op Coordinator

Toronto, ON · On-site

The ECC team is credited with executing a highly successful work integrated learning program that ... Under the general direction of the Director, Employer Relations, the Co-op Coordinator will ...

Laurin

Student Co-op

Nepean, ON · On-site

CA$23/hr

We're seeking a Construction Co-op Student who is eager to turn classroom learning into meaningful project experience. This opportunity is ideal for a motivated student who wants broad exposure to ...

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Fall Machine Learning Co Op information

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

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Infographic showing various Fall Machine Learning Co Op job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Short Term 2027 Machine Learning/Artificial Intelligence Intern/Co-Op

Thornhill, ON • Hybrid

Advanced Micro Devices, Inc
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Advanced Micro Devices, Incexternal

Full-time, Internship

Posted 8 days ago

Key responsibilities

  • Participate in research and development of machine learning and AI features for next-generation products.

  • Analyze and implement changes to algorithms to improve AI performance and user experience.

  • Support AI software teams with project work such as source code analysis, image corruption detection, and deployment of machine learning-based products.

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 162 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. 

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. 

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

As an AMD intern, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

 

JOB DETAILS:

Location: Markham, Ontario, Canada

Onsite/Hybrid: This role requires the student to work full time 37.5 hrs a week, either in a hybrid or onsite work structure throughout the duration of the co-op/intern term.

Winter Duration:

  • 4 Months: January 11, 2027 to April 23, 2027
  • 8 Months: January 11, 2027 to August 20, 2027

Summer Duration:

  • 4 Months: May 3, 2027 to August 20, 2027
  • 8 Months: May 3, 2027 to December 10, 2027

Fall Duration:

  • 4 Months: September 13, 2027 to December 10, 2027

WHAT YOU WILL BE DOING:

We are seeking highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role –

  • We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute.
  • We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
  • We may assign you to one or more of the following project work -
    • Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection.
    • Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
    • Fixing and addressing problems with deployed AI to improve user experience
    • Support AI software teams with roadmap planning, collateral development, and customer engagements

WHO WE ARE LOOKING FOR:

  • Currently enrolled in a Canada based University in a Bachelor's degree program majoring in Computer Science, Computer Engineering, Data Science/Analytics, or a related field, preferably in your 3rd or 4th year of education.
  • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
    • Machine learning, data science, computer vision, statistics, and mathematics
    • Programming in Python, C/C++
    • Relational (SQL) and no-SQL databases.
    • Machine learning algorithms and frameworks
    • Deep learning / AI framework like Pytorch, Tensorflow, Caffe, etc.
    • Familiarity with cloud (e.g., AWS, GCP, Azure) is a plus

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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