toronto on data science intern Jobs – 8 Openings This Week

Machine Learning Intern - Bachelor's Degree
Marvell —Toronto, ON
- $36–$48 an hour
- Full-time
- Doctoral degree
- C++
- Bachelor's
Intern, Investment Operations (AI, Data and Process Optimization)
IMCO —Toronto, ON
- $45,000–$65,000 a year
- Full-time
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Computer Science
Data Science/ Machine Learning Co-op (8 Month - Hybrid)
Oncoustics —Toronto, ON
- Full-time
- Python
Intern - Software/ML Engineering
Human Computer Lab —Toronto, ON
- Hybrid work
- Computer Science
- Engineering
- C++
Quick apply
Co-Op Student - Data Analyst
City of Mississauga —Mississauga, ON
- $20.29–$24.11 an hour
- Temporary
- Computer Science
- Databases
- SQL
5d
Artificial Intelligence Student
Magna International —Concord, ON
- $20–$22 an hour
- Full-time
- English
- Master's degree
- Analysis skills
Quick apply
12d
Quantitative Analyst, Fall 2026 (Co-op/Internship) - 4 Months
BMO Financial Group —Toronto, ON
- $67,200–$124,200 a year
- Full-time
- Master's degree
- SQL
- Analysis skills
- Tuition reimbursement
- Life insurance
AI Engineer Intern/Co-op
GEI Consultants —Markham, ON
- $24–$28 an hour
- Part-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's
- Designated paid holidays
- Tuition reimbursement
Quick apply
12d

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Artificial Intelligence Student
Magna International —Concord, ON
Recognized globally as an innovator in all aspects of vehicle exteriors, Magna provides everything needed, from materials development and design through…
$20–$22 an hour
Quick apply
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AI Engineer Intern/Co-op
GEI Consultants —Markham, ON
Experience with software development projects, hackathons, research projects, GitHub portfolios, or student design teams is considered an asset.
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Machine Learning Intern - Bachelor's Degree

Marvell -
Toronto, ON

Apply Now

Job details

Full-time
$36–$48 an hour

Qualifications

TensorFlow
Doctoral degree
PyTorch
C++
Bachelor's
Machine learning
Computer hardware
Linux
Communication skills
Python

Full job description

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

This is an existing vacancy.

Your Team, Your Impact

We are looking for a talented and enthusiastic candidate to join our Machine Learning team. Our team at Marvell is designing and developing high-throughput, low-latency Accelerator IPs for deep learning training and inference.

As a student AI engineer, you will be working in close collaboration with the Data Scientists within the ML team and you will be involved in modeling and simulating the most recent cutting edge deep learning algorithms for the Accelerator IP currently under development. You'll also have the opportunity to develop a deep understanding of new topics and approaches in AI by implementing them and by running performance analysis.

What You Can Expect

Responsibilities

In collaboration with the Data Scientists, model and run performance analysis of different deep learning architectures for the Rianta proprietary hardware design.
Running different deep learning benchmarks on other hardware such as CPU, and GPU.
Modeling deep learning operations of the Accelerator under development, e.g. convolution, matrix multiplication, pooling layers, back-propagation and running
performance analysis.
Investigate and comprehend related technical reports and research papers.
Writing technical reports on the various experiments that you performed.

What We're Looking For

Qualifications

Currently enrolled in a university and registered with the school's co-op program (Master or Ph.D. are preferred).
Concrete programming skills in Python, C++.
Be familiar with high performance computing, distributed processing, algorithm and data structures.
Be familiar with fundamental deep learning concepts and machine learning algorithms.
Be familiar with fundamental computer hardware architecture and multi-core processors.
Demonstrate strong communication skills

Preferred Qualifications:

Experience with deep learning frameworks such as Tensorflow and PyTorch.
Very familiar with the Linux development environment.
Familiar with linear algebra algorithms such as matrix factorization, SVD

Expected Base Pay Range (CAD)

36 - 48, $ per hour.

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. All application reviews include meaningful human involvement, and no hiring decisions are made solely on the basis of automated processing.

#LI-SC1

Apply Now

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data science intern jobs in toronto on

Machine Learning Intern - Bachelor's Degree

Intern, Investment Operations (AI, Data and Process Optimization)

Data Science/ Machine Learning Co-op (8 Month - Hybrid)

Intern - Software/ML Engineering

Co-Op Student - Data Analyst

Artificial Intelligence Student

Quantitative Analyst, Fall 2026 (Co-op/Internship) - 4 Months

AI Engineer Intern/Co-op

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