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Deep Learning Research Jobs in Ontario (NOW HIRING)

HeyGen

Research Engineer

Toronto, ON

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 ...

Td

Machine Learning Engineer

Toronto, ON

CA$120K - CA$250K/yr

Our work spans the field of machine learning with areas such as deep learning and generative AI ... We are driven to be at the cutting edge of machine learning in research, engineering, and impactful ...

Altis Labs

CA$175K - CA$300K/yr

Design and implement deep learning architectures for 3D volumetric medical imaging (CT, PET, MRI ... Track record of impactful research (publications, deployed systems, or equivalent demonstrations of ...

Rackspace Technology

CA$153K - CA$244K/yr

Read the latest published machine learning research and adapt the models to solve customer ... Deep Learning. * Minimum 5+ years of experience architecting and building Machine Learning ...

Rackspace Technology

CA$153K - CA$244K/yr

Read the latest published machine learning research and adapt the models to solve customer ... Deep Learning. * Minimum 5+ years of experience architecting and building Machine Learning ...

Td

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$170K - CA$250K/yr

Our work spans the field of machine learning with areas such as deep learning and generative AI ... We are driven to be at the cutting edge of machine learning in research, engineering, and impactful ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Our work spans the field of machine learning with areas such as deep learning and generative AI ... We are driven to be at the cutting edge of machine learning in research, engineering, and impactful ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

You will... - Design and execute on a research agenda for deep-learning based motion planning for self-driving. - Leverage and advance the state-of-the-art in robotics and machine learning to enable ...

BMO Capital Markets

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Mathematics, Statistics & Operations Research. * Critical thinking. * Creative reasoning. Intermediate level of proficiency: * Computational Thinking and Programming. * Deep Learning. * Machine ...

BMO Capital Markets

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Mathematics, Statistics & Operations Research. * Critical thinking. * Creative reasoning. Intermediate level of proficiency: * Computational Thinking and Programming. * Deep Learning. * Machine ...

BMO Capital Markets

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Mathematics, Statistics & Operations Research. * Critical thinking. * Creative reasoning. Intermediate level of proficiency: * Computational Thinking and Programming. * Deep Learning. * Machine ...

BMO Capital Markets

Machine Learning engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Mathematics, Statistics & Operations Research. * Critical thinking. * Creative reasoning. Intermediate level of proficiency: * Computational Thinking and Programming. * Deep Learning. * Machine ...

BMO Capital Markets

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Mathematics, Statistics & Operations Research. * Critical thinking. * Creative reasoning. Intermediate level of proficiency: * Computational Thinking and Programming. * Deep Learning. * Machine ...

BMO Capital Markets

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Mathematics, Statistics & Operations Research. * Critical thinking. * Creative reasoning. Intermediate level of proficiency: * Computational Thinking and Programming. * Deep Learning. * Machine ...

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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 Sep 4, 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 is deep learning research?

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 the key skills and qualifications needed to thrive in deep learning research?

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 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 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 August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $183,146 per year, or $88.1 per hour.

Research Engineer

HeyGen

Toronto, ON

Full-time

Re-posted 26 days ago

Job description

Driving Product Innovation with Advanced Computer Vision Technology

HeyGen is a dynamic startup at the forefront of revolutionizing video content with state-of-the-art artificial intelligence technology. With a robust track record of growth and a proven business model, we are rapidly carving out a leadership position in the AI-powered video creation industry. We are in search of passionate Research Scientists with a specialization in Computer Vision to propel our mission forward. If you are eager to deploy your advanced skills to disrupt and redefine the video creation and interaction experience, your next big opportunity awaits with us.

Key Responsibilities:

  • Applied Innovation and Product Development: Harness your knowledge of generative models, including GANs, Diffusion models, and other multi-modal models, to propel our video creation tools forward. Your role involves translating state-of-the-art research into innovative features that directly enhance our user experience and set our products apart.

  • Real-World Solutions: Channel your research capabilities to develop scalable solutions that have a significant impact on our platform, making the video creation process more intuitive, powerful, and accessible to our users.

  • Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead to extraordinary outcomes. Embrace an environment that promotes learning, mentorship, and teamwork, furthering both personal development and the advancement of our technology.

Qualifications:

  • A Master's or PhD in Computer Science, Engineering, or a related field
  • 1-3 years of experience in machine learning and computer vision, demonstrating practical application of generative models and a passion for product-centric innovation.
  • Proficiency in Python, with openness to other programming languages and tools as required by project demands.
  • 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 development setting.
  • A lifelong learner with outstanding problem-solving skills and the ability to communicate effectively in a diverse team environment.

What HeyGen Offers:

  • Competitive Salary and Benefits: We offer a salary commensurate with your experience and a comprehensive benefits package that addresses a variety of needs.
  • Innovative and Inclusive Work Environment: Our workplace is designed to inspire innovation through collaboration, respect, and mutual support.
  • Opportunities for Advancement: We are committed to your professional development, offering extensive opportunities for learning, mentorship, and career growth.
  • Dedication to Diversity: HeyGen is an equal opportunity employer, championing a diverse and inclusive team that ensures equal access to opportunities for all members.
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About HeyGen

Sourced by ZipRecruiter

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2020

Social media

Twitter

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