ZipRecruiter

Log In

1

Internship For Machine Learning Jobs in Toronto, ON

BMO Capital Markets

Senior Manager, Machine Learning

Toronto, ON · On-site

CA$103K - CA$192K/yr

  • Medical

  • Life

  • Retirement

Designs and constructs new processes for modeling data. Develops predictive models and leverages ... machine learning solutions. * End-to-end project management, continuous interaction with key ...

EvenUp

Staff Machine Learning Engineer

Toronto, ON · Remote

$212K - $301K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how machine learning powers Piai™, our proprietary claims-intelligence platform. This is a technical ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Stripe

Machine Learning Engineer

Toronto, ON · Remote

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of ... What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Td

Applied Machine Learning Scientist II

Toronto, ON · On-site

CA$125K - CA$154K/yr

We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In this role, you'll apply expertise across the end-to-end AI and machine learning lifecycle ...

BMO Capital Markets

Senior Manager, Machine Learning

Toronto, ON · On-site

CA$103K - CA$192K/yr

  • Medical

  • Life

  • Retirement

... machine learning, deep learning, artificial intelligence) to mine and analyze large sets of ... Designs and constructs new processes for modeling data. Develops predictive models and leverages ...

EvenUp

Senior Machine Learning Engineer

Toronto, ON · Remote

$196K - $265K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Senior Machine Learning Engineer to help build the models and systems powering Piai™, our proprietary claims-intelligence platform. You'll work across the ML stack - from data ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

previous page

Showing results 41-60

All JobsFor Machine Learning JobsInternship For Machine Learning JobsInternship For Machine Learning Jobs in Toronto, ON

Internship For Machine Learning information

What types of projects and responsibilities can I expect during a machine learning internship?

As a Machine Learning intern, you'll typically work on data preprocessing, exploratory data analysis, model development, and performance evaluation under the guidance of experienced engineers or data scientists. Your daily tasks might include cleaning datasets, experimenting with different algorithms, and collaborating with team members to refine models for real-world applications. Interns often participate in regular team meetings, code reviews, and may present findings to stakeholders. This hands-on experience not only builds your technical skills but also helps you understand how machine learning solutions are integrated into business processes.

What are the key skills and qualifications needed to thrive as an intern for machine learning, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of mathematics, statistics, and programming languages such as Python, supported by coursework or a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are typically expected. Analytical thinking, curiosity, and effective communication help interns excel in collaborative, fast-paced environments. These skills enable interns to contribute meaningfully to projects, learn quickly, and adapt to evolving challenges in machine learning.

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

AspectInternship For Machine LearningData Science Intern
Required SkillsProgramming (Python, R), ML algorithms, data preprocessingStatistics, data analysis, programming, visualization
Work EnvironmentDeveloping ML models, algorithm tuning, model deploymentData analysis, reporting, insights generation
Industry UsageTech, AI startups, research labsBusiness, finance, healthcare, tech

Internship For Machine Learning focuses on developing and deploying machine learning models, requiring skills in algorithms and programming. Data Science Internships emphasize analyzing data, generating insights, and reporting. Both roles often overlap but serve different core functions within data-driven projects.

What is an internship for machine learning?

An internship for machine learning is a temporary position offered to students or recent graduates who want to gain practical experience working with machine learning algorithms, models, and data. Interns typically work under the supervision of experienced engineers or data scientists and are involved in tasks such as data preprocessing, building and training models, and evaluating their performance. These internships provide hands-on exposure to tools, libraries, and real-world projects, helping interns develop valuable technical and problem-solving skills. Machine learning internships are commonly found in tech companies, research labs, and startups.
What are popular job titles related to Internship For Machine Learning jobs in Toronto, ON? For Internship For Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Internship For Machine Learning jobs in Toronto, ON look for? The top searched job categories for Internship For Machine Learning jobs in Toronto, ON are:
Internship For Machine Learning jobs near you
Infographic showing various Internship For Machine Learning job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer, AI Processors (Sr to Staff)

The Institute for Performance and Learning

Markham, ON • On-site

$131 - $181/hr

Other

Posted 7 days ago

Job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary: We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon platforms. In this role, you will work on cutting‑edge machine learning algorithms and technologies spanning computer vision, multimodal AI, and agentic AI systems, and contribute to research and development of AI applications optimized for accuracy, efficiency, and real‑world performance on Snapdragon‑powered devices. Replacement Position

Responsibilities
  • Stay current with the latest advances in artificial intelligence, machine learning, and foundation models.
  • Research, develop, and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms.
  • Design and build innovative reference applications showcasing Snapdragon AI capabilities across mobile, edge, XR, and IoT devices.
  • Evaluate and balance hardware and software trade‑offs to achieve optimal performance, power efficiency, and user experience.
  • Support the implementation, optimization, and commercialization of AI algorithms and applications on Snapdragon devices.
Qualifications
  • Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or related fields.
  • Proficiency with modern machine learning frameworks such as PyTorch or TensorFlow.
  • Passion for innovation and for building efficient AI solutions on edge devices.
  • Strong software development skills in Python and/or C++.
  • Strong problem‑solving skills and the ability to work effectively in a cross‑functional environment.
  • Familiarity with embedded development, operating systems concepts and software development principles.
Preferred Qualifications
  • Master’s or PhD degree with 3+ years of relevant work experience or publications in the areas of machine learning, agentic AI, computer vision, video/image processing algorithms, NLP or audio/speech processing.
  • Experience developing and deploying AI solutions in real‑world applications.
  • Experience translating AI/ML algorithms into software applications running on edge devices.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Applicants

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability-accomodations@qualcomm.com or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$131,200.00 - $181,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

If you would like more information about this role, please contact Qualcomm Careers.

#J-18808-Ljbffr

Apply