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Math Research Jobs in Quebec (NOW HIRING)

LawZero

Senior 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 ...

LawZero

Machine Learning Manager

Montreal, QC

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

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 ...

Hunter Bond

... 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

Societe Generale

Quantitative Advisor

Montreal, QC

Description We are seeking a Quantitative Analyst (VP level) to join the R&D/SGI platform in ... Master's degree in finance, Mathematics, or Engineering LANGUAGE: Ability to communicate in English ...

Nord Quantique

CA$149K - CA$175K/yr

... key research partners * Perform a tight watch on the relevant scientific literature Education and experience requirements : * PhD in quantum information, theoretical physics, mathematics or ...

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All JobsMath Research JobsMath Research Jobs in Quebec

Math Research information

See Quebec salary details

$9

$28

$59

How much do math research jobs pay per hour?

As of Jul 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 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.

How much do math researchers get paid?

Math researchers' salaries vary depending on experience, education, and location, but they typically earn between $60,000 and $120,000 annually. Academic positions often pay less than industry roles, which may offer higher compensation and additional benefits. Advanced skills in programming and data analysis can also influence salary levels.

How to become a math researcher?

To become a math researcher, typically a strong foundation in mathematics through a bachelor's degree is required, followed by advanced study such as a master's or Ph.D. in a specialized area of mathematics. Developing research skills, engaging in academic projects, and publishing findings are essential, along with proficiency in mathematical tools and software like LaTeX and MATLAB.

What are the top 5 math careers that pay well?

Math research careers that tend to pay well include data scientists, quantitative analysts, actuarial scientists, operations research analysts, and financial analysts. These roles often require strong analytical skills, proficiency in programming and statistical tools, and advanced degrees such as a master's or Ph.D. in mathematics or related fields.

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 conduct experiments and publish findings.

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 job categories do people searching Math Research jobs in Quebec look for? The top searched job categories for Math Research jobs in Quebec are:
Math Research jobs near you
Infographic showing various Math Research job openings in Quebec as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,228 per year, or $28.5 per hour.

Senior ML Research Scientist

LawZero

Montreal, QC

Other

Medical, Retirement, PTO

Re-posted 25 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.

Apply