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Math Research Jobs in Quebec (NOW HIRING)

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 ...

This role sits at the intersection of research and infrastructure: you'll form hypotheses, prove ... Bachelor's or Master's in Computer Science, Data Science, Mathematics, or a related discipline. Who ...

This role lives where research meets infrastructure: you'll form hypotheses, test them fast with ... A Bachelor's or Master's in Computer Science, Data Science, Mathematics, or a comparable field. Who ...

This role lives where research meets infrastructure: you'll form hypotheses, test them fast with ... A Bachelor's or Master's in Computer Science, Data Science, Mathematics, or a comparable field. \n ...

... Mathematics). * 10+ years experience in machine learning / deep learning * 5+ years experience leading projects and people * Experience leading machine learning / deep learning research projects

... 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 ...

... moving them from research into robust, production-grade environments. The position requires a ... Bridging the gap between complex mathematical models and high-performance software Requirements

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Math Research information

See Quebec salary details

$9

$28

$59

How much do math research jobs pay per hour?

As of Aug 20, 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?

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 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.

What are the key skills and qualifications needed to thrive in math research, 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.

How to become a mathematics researcher?

To become a mathematics researcher, typically a candidate needs a strong foundation in advanced mathematics through a bachelor's degree, followed by a master's or Ph.D. in mathematics or a related field. Developing research skills, proficiency with mathematical software, and publishing findings in academic journals are also important steps in establishing a career in mathematical research.

What are the top 5 math research careers that pay well?

Math research careers with high earning potential include roles such as quantitative analyst, data scientist, operations researcher, actuarial scientist, and university professor in specialized fields. These positions often require advanced degrees, strong analytical skills, and proficiency with statistical and mathematical software. Salaries vary by industry and experience but generally range from six-figure incomes for experienced professionals in finance, technology, and consulting sectors.

What does a math researcher do?

A math researcher investigates mathematical theories, principles, and problems to develop new knowledge or solutions. They often work in academic, government, or private research settings, using tools like mathematical modeling, statistical analysis, and computer programming to analyze data and prove hypotheses.

What are popular job titles related to Math Research jobs in Quebec?

For Math Research jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Math Research jobs in Quebec look for?

The top searched job categories for Math Research jobs in Quebec are:

Infographic showing various Math Research job openings in Quebec as of August 2026, with employment types broken down into 81% Full Time, 12% Part Time, and 7% Contract. Highlights an 88% In-person, 5% Hybrid, and 7% Remote job distribution, with an average salary of $59,228 per year, or $28.5 per hour.

Senior ML Research Scientist

LawZero

Montreal, QC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Job description

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 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.
  • 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.