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Scientific Machine Learning Jobs in Quebec (NOW HIRING)

Targeted Talent

Data Scientist

Montreal, QC

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Targeted Talent

Data Scientist

Montreal, QC

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Jestais

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. * Minimum of 5 years of full-time professional experience, excluding internships and academic training, in ML ...

Valtech

Senior Data Scientist

Montreal, QC · On-site

Lead complex analytical, statistical, machine learning, and applied AI workstreams across multiple business areas, use cases, or stakeholder groups. * Define data science approaches that align ...

BRP

Data Scientist

Montreal, QC · On-site

Design, build, and validate machine learning models and statistical analyses, with clear success ... MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering ...

United Airlines

GEN AI Specialist

Montreal, QC · On-site

You will develop advanced machine learning algorithms, optimize open-source frameworks, and ... Experience: 8 years in data science or AI engineering, with 2+ years dedicated to Generative AI.

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Scientific Machine Learning information

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Quebec?

For Scientific Machine Learning jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Quebec look for?

The top searched job categories for Scientific Machine Learning jobs in Quebec are:

Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Applied AI Scientist

Bentley Systems

Quebec, QC • On-site

Full-time

Re-posted 14 days ago

Job description

Senior Applied AI Scientist

 

Location: Hybrid, Quebec, Canada

As a Senior Applied AI Scientist, you'll have the opportunity to develop innovative solutions in artificial intelligence (AI) for smart infrastructure, participate in the development of new products based on AI, and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc.

Responsibilities:

  • Develop AI/ML algorithms and models using accepted best practices
  • Analyze user challenges, workflows, and use cases
  • Keep yourself up to date with the relevant research and scientific literature
  • Provide a technological watch over various areas of AI/ML
  • Assist in data acquisition from various sources
  • Analyze data integrity and quality
  • Develop data cleaning strategies and prepare training datasets
  • Measure model performance and resilience
  • Prepare reports and presentations on results
  • Present results to peers, internal stakeholders, and users

Qualifications:

  • BSc, MSc, or PhD in machine learning or a related specialty
  • at least 6 years of experience doing research and development in machine learning - including deep learning and advanced techniques
  • Experience with Large Language Models, RAG, and Copilot systems
  • Experience in practical machine learning applications and development
  • Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges
  • Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
  • Strong problem-solving capabilities using various technologies
  • Capability to research a new topic and to learn quickly
  • Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or MLOps experience desired
  • Fluent in English

What We Offer:

  • A great Team and culture - please see our colleague video. 
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start. 
  • An attractive salary and benefits package. 
  • A commitment to inclusion, belonging, and colleague wellbeing through global initiatives and resource groups. 
  • A company committed to making a real difference by advancing the world's infrastructure for a better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact. 

Scientifique senior en intelligence artificielle appliquee

Lieu : Hybride, Quebec, Canada

En tant que scientifique senior en intelligence artificielle appliquee, vous aurez l'occasion de developper des solutions novatrices en intelligence artificielle (IA) pour les infrastructures intelligentes, de participer au developpement de nouveaux produits bases sur l'IA et de collaborer avec une equipe etablie de scientifiques des donnees. En raison de son positionnement unique sur le marche, notre equipe cible une grande variete de domaines de recherche lies a l'IA, notamment la vision par ordinateur, les modeles graphiques, le traitement du langage naturel, le traitement avance du signal, l'apprentissage non supervise et le regroupement, l'apprentissage par renforcement, etc.

Responsabilites :

  • Developper des algorithmes et des modeles d'IA/apprentissage automatique en utilisant les meilleures pratiques reconnues
  • Analyser les defis, les flux de travail et les cas d'utilisation des utilisateurs
  • Se tenir au courant de la recherche et de la litterature scientifique pertinentes
  • Assurer une veille technologique sur divers domaines de l'IA/apprentissage automatique
  • Aider a l'acquisition de donnees provenant de diverses sources
  • Analyser l'integrite et la qualite des donnees
  • Elaborer des strategies de nettoyage des donnees et preparer des ensembles de donnees de formation
  • Mesurer les performances et la resilience des modeles
  • Preparer des rapports et des presentations sur les resultats
  • Presenter les resultats aux pairs, aux parties prenantes internes et aux utilisateurs

Qualifications :

  • Baccalaureat, maitrise ou doctorat en apprentissage automatique ou dans une specialite connexe
  • Au moins 6 ans d'experience en recherche et developpement en apprentissage automatique, y compris l'apprentissage profond et les techniques avancees
  • Experience avec les grands modeles de langage (LLM), les systemes RAG et Copilot
  • Experience des applications et du developpement pratiques de l'apprentissage automatique
  • Capacite a developper des solutions innovantes en intelligence artificielle pour resoudre des defis concrets et complexes
  • Programmation et utilisation d'outils lies a notre domaine de pratique, tels que Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
  • Solides capacites de resolution de problemes a l'aide de diverses technologies
  • Capacite a faire des recherches sur un nouveau sujet et a apprendre rapidement
  • Experience avec les principaux fournisseurs de services en nuage (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) et/ou experience en MLOps souhaitee
  • Maitrise de l'anglais

Ce que nous offrons :

  • Une equipe et une culture formidables - veuillez visionner notre [video sur nos collegues].
  • Une carriere passionnante au sein d'une entreprise de logiciels de premier plan mondial fournissant des solutions pour l'architecture, l'ingenierie et la construction - regardez ce [court documentaire] sur nos debuts.
  • Un salaire concurrentiel et une gamme complete d'avantages sociaux.
  • Un engagement envers l'inclusion, l'appartenance et le bien-etre des collegues par le biais d'initiatives mondiales et de groupes de ressources.
  • Une entreprise qui s'engage a faire une reelle difference en faisant progresser les infrastructures mondiales pour une meilleure qualite de vie, ou vos contributions aident a batir un monde plus durable, connecte et resilient. Decouvrez nos plus recents [temoignages de reussite de nos utilisateurs] pour avoir un apercu de notre impact mondial.

About Bentley Systems


Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com 

Equal Opportunity Employer:

Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.

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