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Machine Learning Research Scientist Jobs in Ontario

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as ... Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related ...

CA$184K - CA$269K/yr

We are a small, agile applied research team that are intensely curious and passionate about the ... A degree in a related field (Data Science, Computer Science, Statistics or a quantitative-related ...

As an Applied Research Scientist, you will lead the design, development, and deployment of scalable ... machine learning or Generative AI applications. 5+ years research experience related to next ...

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.

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 ...

Research Scientist

Mississauga, ON ยท On-site

CA$75K - CA$110K/yr

... 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 ...

Machine Learning Engineer, Edge AI

Waterloo, ON ยท On-site

CA$120K - CA$170K/yr

We are looking for a Machine Learning Engineer, Edge AI to lead the integration and control of our ... Practical experience translating research concepts into production-quality systems. * Strong ...

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 ...

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 ...

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 ...

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 ...

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 Aug 11, 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 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 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 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 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 62% Full Time, and 38% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $148,333 per year, or $71.3 per hour.

Applied Machine Learning Scientist

StackAdapt

London, ON โ€ข On-site, Remote

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
ย 
Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
Learn more about our team culture here: https://www.stackadapt.com/careers/data-scienceย 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
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StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK, Ireland and Germany for this position.
What you'll be doing:
  • Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
  • Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
  • Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
What you'll bring to the table:
  • Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have a comprehensive understanding of statistics, optimization and machine learning
  • Are proficient in coding, data structures, and algorithms
  • Enjoy working in a friendly, collaborative environment with others