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Scientific Machine Learning Jobs in Quebec (NOW HIRING)

ALS

Machine Learning Engineer

Montreal, QC · On-site

When you join us, you'll be part of a global team harnessing the power of scientific testing and ... Nous recherchons un(e) ingenieur(e) en apprentissage automatique (Machine Learning) pour developper ...

Capco

Machine Learning Engineer

Montreal, QC

Plus de 5 ans d'experience dans des roles en apprentissage automatique ou en science des donnees ... This role focuses on the full lifecycle of machine learning models-from development and ...

Intact Financial

Senior Data Scientist

Montreal, QC · Hybrid

About the role We are currently seeking a Principal Data Scientist to join the LAB family. What you ... Use machine learning and advanced statistical methods to identify trends and patterns in complex ...

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Scientific Machine Learning information

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 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 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 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
Senior Machine Learning Researcher

Senior Machine Learning Researcher

Royal Bank of Canada

Montreal, QC • On-site

Full-time

Posted 18 days ago

Job description

Job Description

RBC Borealis is looking for an enthusiastic Senior Machine Learning Researcher who's excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems in the financial services industry. As a Senior Machine Learning Researcher, you'll be part of a collaborative team delivering AI projects end to end, covering everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products.
At RBC Borealis you'll be joining a team that works directly with leading researchers in machine learning; and you'll have access to rich and massive datasets and to the computational resources that support cutting-edge machine learning R&D.
Your responsibilities include:
  • Technical Contribution. Apply deep technical expertise and scientific rigour to AI projects, working within and across teams;
  • Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
  • Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
  • Research Excellence. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
  • Collaboration. Work closely with team members including other researchers, engineers, and interns to advance AI research and solutioning.
  • Communication. In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.
You're our ideal candidate if you have:
  • A Ph.D. degree in Computer Science or a related technical field;
  • At least 2 years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
  • Expertise in machine learning, with experience with large language models and natural language processing being a plus;
  • Experience delivering high-impact machine learning products;
  • Experience mentoring junior researchers and engineers;
  • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
  • The ability to formulate and drive a research project independently;
  • Exceptional communication skills;
  • A history of high-quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
What's in it for you?
Join a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

Designs and implements cutting edge machine learning methodologies and algorithms to solve complex, high impact problems, ensuring alignment with organizational goals and industry benchmarks.
Leads the development and deployment of scalable AI platforms and tools, providing strategic guidance and technical expertise to cross functional teams and stakeholders.
Authors and presents peer reviewed publications, represents the organization at international conferences, and collaborates with the scientific community to establish the organization as a leader in AI research.
Mentors and provides technical leadership to junior researchers, disseminating knowledge, reviewing research outputs, and fostering innovation to enhance organizational capabilities in machine learning.
Leads complex machine learning research initiatives, solving abstract problems and delivering impactful solutions using advanced technical and business expertise.
Oversees decision making for highly complex issues with significant financial or operational impact, providing clear direction and actionable recommendations to management on key organizational priorities.
Develops and implements innovative solutions to address highly complex machine learning research related problems ensuring alignment with organizational goals.
Cultivates and maintains high impact relationships across multiple areas to provide strategic insights and delivering measurable value as a trusted advisor.

Job Skills

Collaboration, Communication, Computer Programming, Data Science, Large Language Models (LLMs), Machine Learning (ML)

Additional Job Details

Address:

401 GEORGIA ST W:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-06

Application Deadline:

2026-10-05

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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