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Machine Learning Research Intern Jobs in Ontario

Autodesk

Intern, Machine Learning Developer

Toronto, ON · On-site +1

As an Artificial Intelligence / Machine Learning (AI/ML) Intern at Autodesk, you will contribute to ... Research and prototype core AI platform components, including * context/state SDKs, evaluation ...

Td

Research Machine Learning Scientist

Toronto, ON

CA$140K - CA$250K/yr

Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial ...

onsemi

Machine Learning Engineer, Edge AI

Waterloo, ON

CA$120K - CA$170K/yr

We are looking for a Machine Learning Engineer, Edge AI to lead the integration and control of our ... Practical experience translating research concepts into production-quality systems. * Strong ...

Autodesk

You will work with researchers to build out novel applications for machine learning. When the time comes to move any feature into product, you will be a strong interface with product engineering to ...

Quincus

Machine Learning Engineer

Toronto, ON

Quincus Research is building the next generation of intelligent systems for all Quincus products ... As a machine learning engineer, you will be responsible for designing and implementing scalable ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in Computer Science with a strong background in machine learning required.

NTENT

Machine Learning Engineer

Toronto, ON · On-site

$80 - $120/hr

Research and development on cutting-edge machine learning technologies. Qualifications and Skills * Graduate degree in Computer Science with a strong background in machine learning required. * Strong ...

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Machine Learning Research Intern information

What are the key skills and qualifications needed to thrive as a Machine Learning Research Intern, and why are they important?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by Machine Learning Research Interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a Machine Learning Research Intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What are popular job titles related to Machine Learning Research Intern jobs in Ontario? For Machine Learning Research Intern jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Intern jobs in Ontario look for? The top searched job categories for Machine Learning Research Intern jobs in Ontario are:
What cities in Ontario are hiring for Machine Learning Research Intern jobs? Cities in Ontario with the most Machine Learning Research Intern job openings:
Machine Learning Research Intern jobs near you
Machine Learning Research Engineer

Machine Learning Research Engineer

Royal Bank of Canada

Toronto, ON

Full-time

Posted 6 days ago

New

Job description

Job Description

What's the opportunity?

At RBC Borealis, you'll be joining a team of leading researchers and software engineering specializing in machine learning. You will have access to rich and massive datasets, and to computational resources to support novel product development touching machine learning areas such as generative AI, natural language processing, and time series analysis.

We're looking for an enthusiastic Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ML Research Engineer in the applied research team, you'll be part of a collaborative group who aims to deliver AI projects end to end - everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. The goal is to understand the needs of our business partners and bring to life these unique and efficient solutions that can only be achieved through the use of machine learning.

Your responsibilities include:

  • Building machine learning-based software solutions;

  • Collaborating with business stakeholders to prototype machine-learning solutions rapidly;

  • Conducting comparisons to existing algorithms and baselines;

  • Reviewing, extending, and optimizing prototype solutions;

  • Collaborating with the engineering team to integrate algorithms into products;

  • Developing reusable internal tools to facilitate research prototyping;

  • Supporting projects with thorough documentation, design decisions, and capabilities.

You're our ideal candidate if you have:

  • A master's or PhD degree in computer science, mathematics, physics, economics or equivalent;

  • 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment;

  • Experience with writing modular, robust, scalable software in Python 3.x;

  • Expertise in a few of the following areas: deep learning, natural language processing, information retrieval;

  • Experience with deep learning packages such as PyTorch, JAX, or Tensorflow;

  • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews, and source control management;

  • Strong communication skills and a collaborative attitude.

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;

  • Leaders who support your development through coaching and managing opportunities;

  • Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis, an RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo, and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#Ll-POST

Job Skills

Analytical Thinking, Decision Making, Detail-Oriented, Long Term Planning, Machine Learning (ML), Product Development Design, Programming Languages, Quantitative Research, Research and Development Operations, Research Documents

Additional Job Details

Address:

401 GEORGIA ST W:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-23

Application Deadline:

2026-09-28

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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