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Research Assistant Machine Learning Jobs in Quebec

Senior ML Research Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda. In this role, you will design and implement innovative ML models aimed at ...

As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build ... This role combines applied research and software engineering , with a strong focus on production ...

Geodata Scientist

Montreal, QC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification ... Contribute to internal research and development initiatives focused on advancing geoscience ...

... machine learning development at scale? Coveo is looking for Software Development Interns to join teams within Research & Development, where you'll contribute to meaningful backend projects that ...

Provide a technological watch over various areas of AI/ML * Assist in data acquisition from various ... doing research and development in machine learning - including deep learning and advanced ...

Provide a technological watch over various areas of AI/ML * Assist in data acquisition from various ... doing research and development in machine learning - including deep learning and advanced ...

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data ... industry research, tools and best practices * Build and maintain strong engagement with key ...

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to ...

... AI, Machine Learning in Translation, Multilingual AI and Organizing, Computational Intelligence ... Active applied research agenda in one or more fields related to multilingual digital communication ...

... AI, Machine Learning in Translation, Multilingual AI and Organizing, Computational Intelligence ... Active applied research agenda in one or more fields related to multilingual digital communication ...

Utilize machine learning and advanced statistical methods to identify trends and patterns in ... Tool and Platform Maintenance: Assist in maintaining and improving our data mining tools and ...

Use machine learning and advanced statistical methods to identify trends and patterns in complex ... A master's degree in a relevant field (mathematics, science, engineering, operations research ...

Showing results 21-40

Research Assistant Machine Learning information

See Quebec salary details

$9

$34

$89

How much do research assistant machine learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for research assistant machine learning in Quebec is $34.82, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $50.00 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

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

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Quebec?

For Research Assistant Machine Learning jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Research Assistant Machine Learning jobs in Quebec look for?

The top searched job categories for Research Assistant Machine Learning jobs in Quebec are:

What cities in Quebec are hiring for Research Assistant Machine Learning jobs?

Cities in Quebec with the most Research Assistant Machine Learning job openings:

Infographic showing various Research Assistant Machine Learning job openings in Quebec as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution, with an average salary of $72,431 per year, or $34.8 per hour.

ML Research Scientist (probabilistic inference)

LawZero

Montreal, QC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago


Job description

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety research agenda. In this role, you will develop and evaluate probabilistic inference methods, with a focus on amortized inference, translating theoretical insights into practical implementations.

Key responsibilities

  • Develop amortized inference methods suitable for high-dimensional discrete and continuous distributions.
  • Develop parameter- and structure-learning methods for large probabilistic graphical models that benefit from amortized probabilistic inference.
  • Design evaluation strategies for methods that rely on probabilistic inference.
  • Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
  • Translate theoretical proposals into high quality implementations in a programming language such as Python.
  • Analyze and interpret experimental results to steer future research directions.
  • Communicate complex findings effectively to various stakeholders.

Skills and qualifications

  • Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
  • A minimum of 3 years of experience in deep learning research.
  • Expertise in probabilistic inference is required, in addition to expertise in one or more of the following:
    • Bayesian inference
    • Sampling-based approximate inference methods
    • Amortized inference methods (including variational inference methods or Generative Flow Networks)
    • Parameter- and/or structure-learning in probabilistic graphical models (including causal models)
    • Reinforcement learning
    • Optimal control
  • Strong background in mathematics.
  • Proven experience in developing and implementing machine learning models.
  • Proficiency in programming languages such as Python, and experience with  ML frameworks like PyTorch or TensorFlow.
  • Excellent analytical and problem-solving skills, with a demonstrated ability to think critically about complex systems.
  • Strong communication skills, both written and verbal, with the ability to explain complex ideas to diverse audiences.
  • Track record of contributing to high-quality research in probabilistic inference or related fields.
  • Ability to work collaboratively in a team environment while also being self-motivated and independent.

What we offer

  • The opportunity to contribute to a unique mission with a major impact.
  • Comprehensive health benefits.
  • A minimum of 20 days vacation per year upon start.
  • A minimum retirement savings employer contribution of 4%.
  • Generous flexible benefits designed to contribute to your well-being.
  • A team of passionate experts in their field.
  • A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.