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Research Assistant Machine Learning Jobs in Quebec

LawZero

Machine Learning Manager

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI ... As both a people manager and technical leader, you will guide research team members and spearhead ...

Mcgill

Research Assistant 2

Montreal, QC · On-site +1

CA$32.15/hr

... machine learning, and single-cell biology. * Opportunities for co-authorship on high-impact ... Assistant Professor (Research) Position Start Date: 2026-08-31 Position End Date: 2027-08-30 ...

Mcgill

Research Assistant 2

Montreal, QC · On-site +1

CA$32.15/hr

... machine learning, and single-cell biology. * Opportunities for co-authorship on high-impact ... Assistant Professor (Research) Position Start Date: 2026-08-31 Position End Date: 2027-08-30 ...

ALS

Junior Machine Learning Engineer

Montreal, QC

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support the development and deployment of machine learning and AI models across ALS business functions. * Assist in building AI solutions using Large Language Models (LLMs). * Contribute to the ...

LawZero

Senior ML Research Developer

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

We are seeking a senior 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 solve ...

Quandela

AI scientist for Quantum Computing

Montreal, QC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

PhD + 3 years of experience or equivalent industrial R&D experience in machine learning. * Strong foundations in modern machine learning, experimental methodology and model evaluation. * Excellent ...

Quandela

AI scientist for Quantum Computing

Montreal, QC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

PhD + 3 years of experience or equivalent industrial R&D experience in machine learning. * Strong foundations in modern machine learning, experimental methodology and model evaluation. * Excellent ...

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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:

Research Assistant Machine Learning jobs near you
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.

Machine Learning Research Scientist

Valence Labs

Montreal, QC • Hybrid

Full-time

Re-posted 13 days ago

Job description

About Valence Labs

Valence Labs is Recursion's frontier AI research engine. We lead high-impact research
programs designed to materially expand Recursion's ability to discover and develop medicines for complex diseases. Our team balances near-term pragmatism with a long-term view of where the field is heading in the next 3-5 years, incubating, designing, and productizing the approaches we believe will define the future of drug discovery. 

Our work is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, contribute to open science, and engage with some of the world's most active ML-for-drug-discovery research communities. Our teams are based in London and Montreal, with deep ties to Mila, the world's largest deep-learning research institute.

About the role

We are seeking a Research Scientist with a hybrid research-engineering mindset to join our team. In this role, you will be at the forefront of developing generative architectures and foundation models that ground machine learning in real-world biological discovery. 

A successful candidate will have most of the following:

  • PhD (or equivalent) with significant academic or industry research experience in a related technical field involving machine learning applied to drug discovery.
  • Scientific knowledge of biology, chemistry, or physics, along with previous experience working in a scientific environment across disciplines.
  • Impactful research track record, including designing new neural networks to model molecular or biological systems, proposing new theories, or applying novel ML techniques to real-world problems.
  • Strong technical and engineering skills, including the ability to rapidly prototype ML models (Python proficiency required; Rust preferred for high performance molecular encoding or data pipelines).
  • Leadership and communication skills, including a lead authorship record in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR) or journals (e.g., Nature, Science, JACS).
  • Interdisciplinary empathy, with a proven ability to work effectively with interdisciplinary teams of dry and wet scientists.

Key Responsibilities 

  • Model Innovation: Research and develop state-of-the-art architectures (e.g., flow matching, diffusion models, geometric deep learning) tailored to specific biological or chemical challenges.
  • Scalable Engineering: Build and maintain ML systems capable of processing massive datasets on high-performance compute clusters (BioHive).
  • Biological Grounding: Ensure ML predictions are biologically trustworthy and actionable by collaborating closely with drug discovery teams.
  • Open Science & Collaboration: Publish findings in top-tier venues and contribute to the broader scientific community. 

Working Location & Compensation:

This is an office-based, hybrid position at either of our offices located in Montreal, Quebec, Canada. Employees are expected to work in the office at least 50% of the time.

Compensation packages are competitive and commensurate with the skills and level of experience required for this role. In addition to base salary you will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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