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Math Research Jobs in Quebec (NOW HIRING)

LawZero

ML Research Scientist

Montreal, QC

Collaborate with mathematicians and other specialized research scientists to integrate theoretical advancements into practical ML algorithms and models. * Adapt and fine-tune existing frontier models ...

Great Hearts Academies

Math Interventionist Department/Location : Campus Special Education; Great Hearts Texas DFW and San ... Creates a classroom environment and research-based program of study that is conducive to learning ...

SAP

Senior AI Machine Learning Engineer

Montreal, QC

... research, data, and product stakeholders to drive delivery and impact. Required Qualifications · PhD or MS in Computer Science, Machine Learning, Applied Mathematics, Physics, or a related field ...

Tecsys Inc.

Senior Developer (AI / ML)

Montreal, QC · On-site +1

Our P&T team is leveraging Operations Research and AI/ML-based technologies to build the next ... Engineering, Physics, Applied Mathematics and Statistics. You have proven experience in converting ...

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$9

$28

$59

How much do math research jobs pay per hour?

As of May 31, 2026, the average hourly pay for math research in Quebec is $28.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $34.38 per hour, depending on experience, location, and employer.

What is a Math Research job?

A Math Research job involves studying mathematical theories, solving complex problems, and developing new mathematical models. Researchers may work in academia, government, or industry, applying advanced math to fields like physics, finance, cryptography, or data science. They often publish papers, collaborate with other scientists, and contribute to theoretical or applied mathematics.

What are the key skills and qualifications needed to thrive in the Math Research position, and why are they important?

To thrive in Math Research, you need advanced mathematical knowledge, strong analytical abilities, and a graduate degree (often a Ph.D.) in mathematics or a related field. Commonly used tools include programming languages such as Python or MATLAB, mathematical modeling software, and statistical analysis packages. Exceptional problem-solving, perseverance, and effective communication skills help researchers articulate complex findings and collaborate across disciplines. These skills ensure rigorous, innovative research that advances understanding and delivers real-world impact.

What types of projects do professionals in Math Research typically work on?

Math Research professionals often focus on solving theoretical problems, developing new mathematical models, or applying mathematics to fields like data science, engineering, or finance. Projects can range from pure mathematical theory to practical applications such as optimizing algorithms, analyzing big data, or designing statistical tests. Researchers frequently work within academic, governmental, or private sector teams, collaborating with other scientists, engineers, or subject matter experts. This interdisciplinary approach allows for both independent and group work, providing opportunities for creative problem-solving and continuous learning.
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Math Research jobs near you
Infographic showing various Math Research job openings in Quebec as of May 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $59,228 per year, or $28.5 per hour.

ML Research Scientist

LawZero

Montreal, QC

Other

Medical, Retirement, PTO

Posted 24 days ago

Job description

We are seeking a 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 solving advanced AI safety problems.

Key responsibilities

  • Propose, design, and implement novel ML models tailored to solve complex AI safety problems.
  • Collaborate with mathematicians and other specialized research scientists to integrate theoretical advancements into practical ML algorithms and models.
  • Adapt and fine-tune existing frontier models to enhance their applicability to specific settings.
  • Design and implement experimental protocols and evaluation frameworks to validate hypotheses and ensure robust and reproducible results, including at the scale and complexity of frontier models.
  • Analyze and interpret experimental data in order to steer future research questions and objectives.
  • Benchmark and optimize model performance and efficiency along with ML engineers to ensure the optimal usage of computing resources over the course of long experiments.
  • Communicate findings and synchronize work with other researchers and engineers.

Required 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.
  • 3-5 years of experience in deep learning research projects, in particular with frontier models.
  • Proven experience in the training, adaptation, and/or fine-tuning of frontier models across a variety of complex scenarios that involve, for example, transfer learning, domain adaptation, or meta learning.
  • Expertise in the integration and use of ML libraries such as PyTorch, TensorFlow, or JAX for the development, training, and evaluation of ML models, ideally in distributed computing environments.
  • Strong experience in Python software development, in the use of version control, collaboration tools, and experiment management and tracking tools.
  • Strong communication skills, both written and verbal, with the ability to exchange ideas with researchers across different disciplines.
  • Ability to work collaboratively in a team environment while also being self-motivated and independent.
Preferred skills and qualifications
  • Experience analyzing the behavior of frontier models in safety-critical contexts.
  • Experience in the design and development of model alignment strategies or benchmarks.
  • Experience with natural language processing or probabilistic graphical models.
  • A track record of contributing to high-quality research projects in deep learning.

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.

Apply