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Machine Learning Research Scientist Jobs in Ontario

$110 - $170/hr

The Product Operations machine learning team is seeking a machine learning research engineer to conduct research in anomaly detection and automated machine learning to address domain-specific ...

As a Research Machine Learning Scientist, you will * Join a world-class team of machine learning researchers with an extensive track record in both academia and industry. * Research, develop, and ...

ML Research Scientist - PhD

Toronto, ON ยท Remote

CA$110 - CA$145/hr

Review complex machine learning research for alignment with domain principles and methodologies ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

ML Research Scientist - PhD

Toronto, ON ยท Remote

CA$60 - CA$100/hr

Review complex machine learning research for alignment with domain principles and methodologies ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Research Scientist

Toronto, ON ยท On-site

CA$158K - CA$269K/yr

As a research scientist, you will invent new AI technologies that enable our launch of fully ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

Continuously optimize the platform to support our emerging machine learning research capabilities and evolving use case needs * Steer the direction for ML tooling, improve technical standard and ...

Research Scientist, Simulation Agents

Toronto, ON ยท On-site +1

CA$158K - CA$269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

CA$140K - CA$225K/yr

You will work closely with our research scientists to implement, scale, and optimize machine learning systems that power our de novo antibody design platform and advance our protein design ...

Research Scientist, Learnable Planner

Toronto, ON ยท On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

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Machine Learning Research Scientist information

See Ontario salary details

$103K

$148.3K

$174.5K

How much do machine learning research scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning research scientist in Ontario is $148,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What is a machine learning research scientist?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What does a machine learning research scientist do?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What are the key skills and qualifications needed to thrive as a machine learning research scientist?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are popular job titles related to Machine Learning Research Scientist jobs in Ontario?

For Machine Learning Research Scientist jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Scientist jobs in Ontario look for?

The top searched job categories for Machine Learning Research Scientist jobs in Ontario are:

Infographic showing various Machine Learning Research Scientist job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $148,333 per year, or $71.3 per hour.

Quantum Machine Learning Research Scientist

CIBC US

Toronto, ON โ€ข On-site, Remote

Full-time

Retirement

Posted 6 days ago


Job description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

As a Quantum Machine Learning Research Scientist, you will play a key individual contributor role within CIBC's Advanced Analytics and AI team, driving the development and application of quantum computing capabilities across the bank. You will lead applied research initiatives focused on designing, executing, and evaluating quantum algorithms, working closely with researchers, engineers, and business stakeholders to explore real-world use cases in areas such as fraud, cybersecurity, and optimization. You will contribute to advancing quantum research while translating complex concepts into practical insights, helping shape how emerging technologies can be leveraged within a banking environment. This role requires a strong balance of technical depth, hands-on experimentation, and the ability to communicate findings to both technical and non-technical audiences.


At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.


How you'll succeed

  • Applied Research & Experimentation - Design, implement, and execute quantum computing experiments and proof-of-concepts, translating theoretical research into practical, testable outcomes aligned to business needs.
  • Quantum Expertise - Apply deep knowledge of quantum computing principles and algorithms to solve complex computational problems, with a focus on real-world applicability within financial services.
  • Collaboration & Influence - Work closely with AI researchers, machine learning engineers, developers, and domain experts across business units (e.g., fraud, cybersecurity) to co-develop and evaluate innovative solutions.
  • Communication & Translation - Clearly articulate complex quantum concepts and research findings to a broad audience, including senior leadership, enabling informed decision-making.
  • Innovation Mindset - Stay current with advancements in quantum computing and contribute to original research while identifying opportunities to apply emerging capabilities within the organization.

Who you are

  • You can demonstrate knowledge and experience in. quantum computing. You bring strong expertise in quantum computing concepts, algorithms, and programming frameworks, with hands-on experience in designing and executing experiments. You have experience translating theoretical research into practical experimentation or real-world applications, ideally within industry or applied research settings. You are proficient in programming and comfortable working with tools and frameworks such as Python, Qiskit, Cirq, Ocean, or Q#, and can collaborate effectively with engineering teams to execute experiments. You understand machine learning concepts and have a working knowledge of machine learning principles and can articulate how they intersect with quantum computing.
  • You have a PhD in. physics, computer science, mathematics, or a related field, with a focus on quantum computing or closely related disciplines.
  • Your influence makes a difference. You are able to translate complex technical concepts into clear, concise insights for non-technical stakeholders, including senior leaders. You're motivated by collective success.
  • You love to learn. You thrive in a research-driven environment, are open to learning across domains, and are motivated to explore how emerging technologies can create business value.
  • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise.

  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

  • We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Artificial Intelligence Algorithms, Big Data Technologies, Critical Thinking, Data Analysis, Data Manipulation, Data Visualization, Deep Learning, Generative AI, Information Theory, Machine Learning (ML), Machine Learning Algorithms, Natural Language Processing (NLP), PL/SQL (Programming Language), Python (Programming Language), PyTorch, Qiskit, Quantum Computing, Quantum Information Theory, Quantum Mechanics, Quantum Optimization, Shell Scripting, Statistical Analysis