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Machine Learning Research Scientist Jobs in Ontario

CA$153K - CA$244K/yr

Read the latest published machine learning research and adapt the models to solve customer's problems. * Establish credibility by demonstrating technical excellence and delivering value through ...

CA$153K - CA$244K/yr

Read the latest published machine learning research and adapt the models to solve customer's problems. * Establish credibility by demonstrating technical excellence and delivering value through ...

Our research broadly spans the field of machine learning with areas such as deep learning and ... Minimum three years of experience delivering major data science projects in large, complex ...

... machine learning solutions in a product-centric environment * Experience managing/mentoring high ... scientists and engineers * Proven expertise across the research and development lifecycle, from ...

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 to join our AI2 team. In ... Stay current with ML research and industry trends to bring innovative approaches into production

Applied Machine Learning Scientist I

Toronto, ON ยท On-site +1

CA$105K - CA$125K/yr

We're looking for a highly motivated Applied Machine Learning Scientist to join our AI2 team. In ... Stay current with ML research and industry trends to bring innovative approaches into production ...

Shape the future of drug discovery as an innovative Machine Learning Engineer with Recursion ... Your responsibilities include optimizing the platform to address emerging research capabilities ...

You will collaborate with research and product engineering from various domains including design ... Educational Background: BS or MS in Computer Science, or related field or work experience ...

... R&D data and processes. Using state-of-the-art machine learning and AI techniques, such as ... Collaborate closely with hardware engineers and scientists to create and implement novel ML-driven ...

Showing results 41-60

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.

AI Researcher - Fully Remote | Upto $100/hr

Mercor

Toronto, ON โ€ข Remote

CA$100/hr

Full-time

This job post hasย expired 3 days ago.ย Applications are no longer accepted.


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)
Type: Contract
Compensation: $60–$100/hour
Location: Remote

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
  • Review complex machine learning research for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in Machine Learning, Computer Science, AI, or a closely related field.
  • Published at least one main conference paper at ICML, NeurIPS, or ICLR.
  • Strong preference for candidates with 2+ publications at these venues.
  • Demonstrated experience conducting original ML research.

Preferred

  • Expertise in Reinforcement Learning (RL).
  • Knowledge of Meta-Learning.
  • Experience with Recursive Self-Improvement.
  • Interest in AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).

Start Date

  • Urgent; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.