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Machine Learning Research Scientist Jobs in Ontario

We collaborate with the leading academic institutes in the space of AI and machine learning to ... As an Applied AI Research Scientist, you will have an individual contributor (IC) role driving ...

We collaborate with the leading academic institutes in the space of AI and machine learning to ... As an Applied AI Research Scientist, you will have an individual contributor (IC) role driving ...

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.

We are looking for Applied Research Scientist experienced with training large language models ... A PhD or master's degree or equivalent in machine learning, computer science, artificial ...

Our team's mission is to research, build, and deliver production-grade machine learning and ... Partner with data scientists, engineers, and business stakeholders to gather requirements and ...

The Applied Research team at Scribd, Inc. is on the lookout for a Data Scientist II passionate about machine learning and AI. Bring your skill set in building and implementing high-impact AI systems ...

Research Scientist, Neural Reconstruction

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

... machine learning and real-world testing in pilot production. We are currently focused on key ... Perform literature review on research projects * Analyze and present experimental data to summarize ...

CA$100K - CA$500K/yr

The ML Models team sits at the intersection of cutting-edge AI research and high-performance hardware, bringing state-of-the-art machine learning models to life on Tenstorrent's custom AI ...

The purpose of this role is to conduct scientific research and develop process control for plastic ... Design and development of AI driven machine monitoring solutions * Define and develop the product ...

CA$175K - CA$300K/yr

PhD in machine learning, computer vision, statistics, or a related field preferred; exceptional ... Track record of impactful research (publications, deployed systems, or equivalent demonstrations of ...

Research Scientist, World Models

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

As a Research Scientist in World Models, you will develop algorithms and productionize the next ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Machine Learning Engineer

Toronto, ON ยท On-site

CA$120K - CA$250K/yr

We are driven to be at the cutting edge of machine learning in research, engineering, and impactful ... Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related ...

Machine Learning Engineer

Chatsworth, ON ยท On-site

CA$160K - CA$190K/yr

This is a hands-on role for someone who thrives at the intersection of research and production ... Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely ...

As part of the Product R&D organization, you will play a senior technical leadership role in ... PhD, Master's degree, or equivalent deep expertise in Computer Science, Machine Learning ...

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

Applied Machine Learning Scientist II

Toronto, ON ยท On-site

CA$125K - CA$154K/yr

We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In this role, you'll apply expertise across the end-to-end AI and machine learning lifecycle ...

Showing results 21-40

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.

Applied AI Research Scientist

CIBC US

Toronto, ON โ€ข Hybrid

Full-time

Retirement

Re-posted 14 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

The Advanced Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in artificial intelligence, predictive science, and machine learning, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality. Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. As an Applied AI Research Scientist, you will have an individual contributor (IC) role driving strategic direction through collaboration with AI Scientists, Engineers, and Product leaders across CIBC. You will play a crucial role in developing, improving, and exploring the capabilities of AI and Generative AI models.

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

How you will succeed

  • Applied AI competence: Tackle difficult and meaningful projects in domains such as foundation models, multi-agent AI, and responsible AI. Your work will make a significant difference in advancing cutting-edge technology and providing practical solutions to real-world problems.

  • Research skills: 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 implementation of large generative models.

  • Science-driven innovation: Work with other researchers, engineers, and product teams. Represent CIBC in the research community, collaborating with faculty members in the relevant AI research functions.

Who you are

  • You can demonstrate excellent coding skills and hands-on experience in large-scale model training with GPU acceleration. You have advanced interdisciplinary knowledge in deep learning, natural language processing, and big data. You have track record of impactful projects and publications at top-tier venues (NeurIPS, ICLR, Nature, etc.). You understand foundation model architecture, methods for pretraining and post-training, and model efficiency

  • You have a PhD in deep learning, or other related disciplines, and 3+ years in related research experience OR equivalent experience. Hands-on experience building end-to-end solutions with Large Language Models, or experience using cloud platforms and Databricks, are considered assets.

  • You are motivated by collective success. You value collaboration and embrace the power of an inclusive team that enjoys working together to achieve a shared vision.

  • 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 (AI), Big Data, Critical Thinking, Deep Learning, Machine Learning (ML), Natural Language Processing (NLP), PL/SQL (Programming Language), Python (Programming Language), PyTorch, Statistical Analysis