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Deep Learning Research Jobs in Ontario (NOW HIRING)

Machine Learning Engineer

Toronto, ON ยท On-site

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 ...

Machine Learning Engineer II

Toronto, ON ยท 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 ...

Research Scientist, Learnable Planner

Toronto, ON ยท 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 ...

Machine Learning Engineer II

Toronto, ON ยท 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 ...

Sr. GenAI Engineer

Toronto, ON ยท Hybrid

CA$130K - CA$145K/yr

Research & Stay Updated:Keep abreast of advancements in deep learning, NLP, and AI methodologies to continuously improve the platform and solutions. Requirements: * PhD or Master's degree in Computer ...

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Research and development on cutting-edge machine learning technologies. Qualifications and Skills:

Senior / Staff Perception Engineer

Toronto, ON ยท On-site

CA$158K - CA$269K/yr

... research insights, leveraging your expertise in deep learning, computer vision, and self-driving. - Support productizing and deploying perception algorithms to our self-driving vehicles ...

As part of our work, we also initiate and foster collaborations with other research teams in ... Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement ...

You will leverage classical CV, deep learning (transformers, multi-modal models), and probabilistic ... Collaborate with platform engineers to transition research prototypes into production-ready ...

Deep understanding of modern AI architectures including CNNs, Transformers, state-space models, and ... Practical experience translating research concepts into production-quality systems. * Strong ...

Showing results 21-40

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 10, 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 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 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 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:
Infographic showing various Deep Learning Research job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% 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.

Machine Learning Engineer

Td

Toronto, ON โ€ข On-site

CA$120K - CA$250K/yr

Full-time

Re-posted 22 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$120,000 - $250,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.

Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

Our work 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 datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.

As a Machine Learning Engineer, you will:

  • Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
  • Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
  • Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
  • Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
  • Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing


RequiredQualifications:

  • Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
  • 3+ years of developer experience shipping code in production settings
  • Strong background in machine learning and deep learning
  • Strong coding proficiency in Python, Java, C, or C++
  • You value good software design and sweat over details in code and API design
  • You take great personal pride in building robust and scalable software
  • You are highly accountable and have a strong sense of ownership
  • You strive to communicate clearly and with empathy

PreferredQualifications:

  • Research experience with publication record
  • Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
  • Experience with building and scaling data-intensive software
  • Experience using GPUs for accelerated deep learning training

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet