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Deep Learning Research Jobs in Ontario (NOW HIRING)

Td

Research Machine Learning Scientist

Toronto, ON

CA$140K - CA$250K/yr

Research, develop, and apply new techniques in deep learning to advance our industry leading products. * Work with large-scale, real-world datasets that range from banking transactions, to large ...

Td

Research Machine Learning Scientist II

Toronto, ON · On-site

CA$140K - CA$180K/yr

Research, develop, and apply new techniques in deep learning to advance our industry leading products. * Work with large-scale, real-world datasets that range from banking transactions, to large ...

Manifold Bio

CA$140K - CA$225K/yr

Understanding of modern deep learning architectures and optimization techniques * Experience implementing research papers or translating ML approaches to production systems * Proficiency with version ...

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

... deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions ... we strive to bring research ideas into production and push the boundaries of self-driving ...

Tenstorrent

CA$100K - CA$500K/yr

Deep understanding of ML architectures, LLM training, and inference optimization. * Hands-on ... learning models. * 4+ years of industry and/or academic experience in ML research and LLM ...

Quincus

Machine Learning Engineer

Toronto, ON

... research and techniques in deep learning and reinforcement learning. Qualifications: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3+ years of ...

CIBC US

Applied AI Research Scientist

Toronto, ON · Hybrid

Evaluate and apply advanced research in deep learning, NLP, predictive modeling, and the related literature. Integrate state-of-the-art tools, technologies, and methods to support the development and ...

Autodesk

We are a small, agile applied research team that are intensely curious and passionate about the ... Expertise with Machine Learning, Deep Learning and statistical modeling tools and libraries such as ...

HeyGen

Research Engineer

Toronto, ON · On-site

Experience with deep learning frameworks such as PyTorch, and a capacity for quickly mastering new technologies. * A collaborative spirit with a proven track record in a team-based research or ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative ...

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All JobsDeep Learning Research JobsDeep Learning Research Jobs in Ontario

Deep Learning Research information

See Ontario salary details

$21.5K

$183.1K

$401K

How much do deep learning research jobs pay per year?

As of Aug 2, 2026, the average yearly pay for deep learning research in Ontario is $183,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $212,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Deep Learning Research?

Professionals in Deep Learning Research often encounter challenges such as working with large and complex datasets, ensuring model interpretability, and managing limited computational resources. Staying up-to-date with the rapidly evolving literature and adapting to new techniques or frameworks is also crucial. Additionally, translating research results into practical, scalable applications and collaborating with cross-functional teams can be both demanding and rewarding. Overcoming these challenges requires a combination of technical expertise, creativity, and strong communication skills, making each day dynamic and intellectually stimulating.

What are the key skills and qualifications needed to thrive in the Deep Learning Research position, and why are they important?

To thrive in Deep Learning Research, you need a strong background in mathematics, computer science, and machine learning principles, often backed by advanced degrees such as an MSc or PhD. Experience with programming languages like Python, proficiency in frameworks such as TensorFlow or PyTorch, and familiarity with high-performance computing resources are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas effectively are essential soft skills. These capabilities ensure you can design, implement, and present innovative deep learning solutions that advance research and address real-world challenges.

What is a Deep Learning Research job?

A Deep Learning Research job involves investigating and developing advanced machine learning techniques, particularly deep neural networks, to improve AI performance. Researchers design new models, optimize algorithms, and experiment with architectures to solve complex problems in areas like computer vision, natural language processing, and reinforcement learning. They often work in academia, industry, or research labs, publishing findings in conferences and collaborating with engineers to integrate advancements into real-world applications.

What are popular job titles related to Deep Learning Research jobs in Ontario? For Deep Learning Research jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Deep Learning Research jobs in Ontario look for? The top searched job categories for Deep Learning Research jobs in Ontario are:
Deep Learning Research jobs near you
Infographic showing various Deep Learning Research job openings in Ontario as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $183,146 per year, or $88.1 per hour.

Machine Learning Research Engineer

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Posted 25 days ago

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:

2026-08-31

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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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