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Computational Mathematics Jobs in Quebec (NOW HIRING)

Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields * 3+ years of applicable work experience in ML * Hands-on ...

Computational Mathematics information

See Quebec salary details

$20.5K

$84.6K

$174.5K

How much do computational mathematics jobs pay per year?

As of Aug 5, 2026, the average yearly pay for computational mathematics in Quebec is $84,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computational mathematician, and why are they important?

To thrive as a Computational Mathematician, you need a strong background in mathematics, numerical analysis, and computer science, often supported by an advanced degree in mathematics or a related field. Proficiency with programming languages like Python, MATLAB, or C++, and familiarity with specialized mathematical software and high-performance computing systems are typically required. Analytical thinking, problem-solving, and effective collaboration are essential soft skills for addressing complex computational challenges. These skills and qualities are crucial for developing accurate models, solving real-world problems, and advancing research or industrial applications.

What is the difference between Computational Mathematics vs Data Scientist?

AspectComputational MathematicsData Scientist
Required CredentialsMathematics, Computer Science degrees, often with advanced courseworkStatistics, Computer Science, or related degrees, often with data analysis certifications
Work EnvironmentResearch labs, academia, tech companies focusing on algorithm developmentBusiness, tech firms, healthcare, analyzing large datasets
Employer & Industry UsageResearch institutions, universities, R&D departmentsTech companies, finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding technical roles involving algorithms and modelingAnalyzing data to inform business decisions

Computational Mathematics focuses on developing algorithms, mathematical models, and simulations, often in research or academic settings. Data Scientists analyze large datasets to extract insights and support decision-making in various industries. While both roles require strong analytical skills, Computational Mathematics emphasizes theoretical and algorithmic development, whereas Data Science centers on practical data analysis and visualization.

How do computational mathematicians typically collaborate with other professionals on interdisciplinary projects?

Computational mathematicians often work closely with professionals from fields such as engineering, computer science, physics, and data science to tackle complex, real-world problems. Collaboration usually involves translating mathematical models into algorithms, developing simulations, and analyzing large datasets. Effective communication is key, as computational mathematicians must explain technical concepts to team members with varying expertise. These interdisciplinary projects provide opportunities to broaden your skill set and contribute to innovative solutions across industries, from finance to healthcare.

What do computational mathematicians do?

Computational mathematicians develop and apply mathematical models, algorithms, and numerical methods to solve complex scientific, engineering, and data analysis problems. They often work with computer programming, simulations, and high-performance computing to analyze large datasets or optimize systems across various industries.
What are popular job titles related to Computational Mathematics jobs in Quebec? For Computational Mathematics jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Computational Mathematics jobs in Quebec look for? The top searched job categories for Computational Mathematics jobs in Quebec are:
Infographic showing various Computational Mathematics job openings in Quebec as of July 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $84,623 per year, or $40.7 per hour.

Senior Applied AI/ML Developer

Autodesk

Montreal, QC • Remote

Full-time

Posted 15 days ago


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

26th of 242 rated software companies


Job description

Job Requisition ID #

26WD99788

L'affichage de poste en francais suivra / The French job posting follows

26WD99788 Sr. Applied AI/ML Developer

Position overview

As a Senior ML Developer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across dedicated RAG programs of work. Your horizontal expertise in testing, evaluation and causal inference in the vertical domain of user interaction with text outputs, Information Retrieval as a theoretical discipline as the enabling tool will drive end-to-end planning, POC-building, offline and online evaluation and pushing features into the hands of users.

The Senior MLE will work to deliver ML-driven technical solutions to customer needs in our platform. Sr MLEs help in coordinating delivery as part of multi-disciplinary stakeholder teams. This role is hands-on, focusing on technical problem solving with the latest in NLP and ML technology.

Our team culture is built on collaboration, mutual support, and continuous learning. As a Senior MLE, you will provide technical guidance and expertise for the team, and with other stakeholders. We emphasize an agile, hands-on, and technical approach at all levels of the team.

As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.

Responsibilities

  • Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms

  • Perform statistical and data analysis and exploration to generate datasets for model training and development

  • Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice

  • Provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform.

  • Partner with stakeholders, to solve important business objectives across a range of problems

  • Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning

Minimum Qualifications

  • MS/M.Tech/M.Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields

  • 3+ years of applicable work experience in ML

  • Hands-on experience of NLU and integrating traditional search techniques into RAG

  • Proficiency with the Python Machine Learning stack, e.g. Pandas, deep learning frameworks, traditional ML, probability calibration etc.

  • Knowledge of experimental design and analysis of results

  • Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production

  • Demonstrate experience working in cross-functional teams to deliver ML solutions in production

____________________________________________________________________________

26WD99788 Developpeur principal en IA/apprentissage automatique applique

Apercu du Poste

En tant que developpeur principal en apprentissage automatique au sein de l'equipe, vous serez charge de diriger ou de contribuer a la conception, a l'analyse et a la mise en uvre de solutions fondees sur les donnees afin de relever des defis d'affaires majeurs dans le cadre de programmes de travail RAG dedies. Votre expertise horizontale en matiere de tests, d'evaluation et d'inference causale dans le domaine vertical de l'interaction des utilisateurs avec les sorties textuelles, ainsi que la recherche d'information en tant que discipline theorique et outil facilitateur, vous permettront de piloter la planification de bout en bout, la creation de preuves de concept (POC), l'evaluation hors ligne et en ligne, ainsi que la mise a disposition des fonctionnalites aupres des utilisateurs.

Le specialiste principal en apprentissage automatique (MLE) travaillera a fournir des solutions techniques basees sur l'apprentissage automatique pour repondre aux besoins des clients sur notre plateforme. Les specialistes principaux en apprentissage automatique aident a coordonner la mise en uvre au sein d'equipes multidisciplinaires composees de parties prenantes. Ce poste est axe sur la pratique et met l'accent sur la resolution de problemes techniques a l'aide des dernieres technologies en traitement du langage naturel (TLN) et en apprentissage automatique.

La culture de notre equipe repose sur la collaboration, le soutien mutuel et l'apprentissage continu. En tant que specialiste principal en apprentissage automatique, vous fournirez des conseils techniques et votre expertise a l'equipe ainsi qu'aux autres parties prenantes. Nous mettons l'accent sur une approche agile, pratique et technique a tous les niveaux de l'equipe.

En tant que groupe, nous souhaitons ameliorer continuellement notre apprentissage automatique ainsi que notre connaissance des tendances et des techniques pertinentes pour nos domaines. Notre equipe vise l'excellence tant dans la theorie que dans la pratique de l'apprentissage automatique. Nous encourageons le developpement personnel et le partage des connaissances.

Responsabilites

  • Concevoir et mettre en uvre des capacites d'apprentissage automatique qui ameliorent les plateformes RAG d'Autodesk

  • Effectuer des analyses et des explorations statistiques et de donnees afin de generer des ensembles de donnees pour l'entrainement et le developpement de modeles

  • Collaborer avec les autres membres de l'equipe pour trouver de meilleures solutions et positionner notre equipe a la fine pointe de la technologie et des pratiques en matiere d'apprentissage automatique

  • Assurer le leadership technique et le mentorat aupres des membres moins experimentes de l'equipe afin de livrer des fonctionnalites cles basees sur l'apprentissage automatique pour notre plateforme client numerique.

  • Collaborer avec les parties prenantes pour atteindre des objectifs d'affaires importants en abordant un large eventail de problemes

  • Traduire les exigences et les objectifs d'affaires en problemes pouvant etre resolus grace a une combinaison de donnees, de statistiques et d'apprentissage automatique

Qualifications Minimales

  • Maitrise (MS/M.Tech/M.Math) ou doctorat (Ph.D.) en informatique, statistiques, mathematiques, physique, developpement logiciel, economie, linguistique computationnelle ou dans des domaines connexes

  • Au moins 3 ans d'experience professionnelle pertinente en apprentissage automatique

  • Experience pratique de la comprehension du langage naturel (NLU) et de l'integration de techniques de recherche traditionnelles dans le RAG

  • Maitrise de la pile d'apprentissage automatique en Python, p. ex. Pandas, les cadres d'apprentissage profond, l'apprentissage automatique traditionnel, l'etalonnage des probabilites, etc.

  • Connaissance de la conception experimentale et de l'analyse des resultats

  • Experience averee dans la direction d'equipes d'apprentissage automatique pour le deploiement et l'amelioration de fonctionnalites d'apprentissage automatique en production

  • Experience averee de travail au sein d'equipes interfonctionnelles pour la mise en uvre de solutions d'apprentissage automatique en production

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982