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Learning Experience Designer Jobs in Quebec (NOW HIRING)

CA$90K - CA$120K/yr

... Learning and Development Opportunities I Competitive Pay I Referral Program I Recognition I ... Criteria such as the candidate's qualifications and relevant experience, the scope of the specific ...

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

... designs. We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your ... Experience with CNNs, LSTMs/RNNs, Transformers * Strong math skills and Python proficiency

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

... designs. We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your ... Experience with CNNs, LSTMs/RNNs, Transformers * Strong math skills and Python proficiency

Within this team, the Playbook Design function plays a critical role in shaping consumer experience ... Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges ...

Exigences * Au moins 10 ans d'expérience en dessin et modélisation. * Au moins 10 ans ... Job Duties * Prepares layouts, drawings and designs according to engineering specifications.

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Showing results 1-20

Learning Experience Designer information

See Quebec salary details

$50.5K

$93.8K

$138.5K

How much do learning experience designer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for learning experience designer in Quebec is $93,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a Learning Experience Designer?

A Learning Experience Designer is a professional who creates engaging, effective educational experiences for learners. They use principles from instructional design, educational psychology, and user experience to develop courses, training programs, or digital learning tools. Their goal is to ensure that learning materials are accessible, interactive, and tailored to meet the needs of diverse learners. Learning Experience Designers often collaborate with subject matter experts and utilize technology to enhance the learning process.

What does a learning experience designer do?

A learning experience designer creates educational programs and materials that enhance learner engagement and understanding. They analyze learning needs, design instructional strategies, and often use tools like e-learning software to develop effective training experiences, typically working closely with subject matter experts and utilizing instructional design models such as ADDIE.

Are learning experience designers in demand?

Learning experience designers are in high demand as organizations seek to improve training and development through innovative, technology-driven solutions. They often work with e-learning tools, instructional design principles, and learning management systems, making their skills valuable across various industries including corporate, education, and healthcare.

How do you become a learning experience designer?

To become a learning experience designer, individuals typically need a background in education, instructional design, or related fields, along with skills in curriculum development, multimedia tools, and user experience design. Gaining experience through internships, certifications like the Certified Professional in Learning and Performance (CPLP), and proficiency with authoring tools such as Articulate or Adobe Captivate can also be beneficial.

How do Learning Experience Designers typically collaborate with subject matter experts (SMEs) during the course development process?

Learning Experience Designers often work closely with subject matter experts to ensure course content is accurate, engaging, and aligned with learning objectives. This collaboration usually involves conducting interviews, reviewing existing materials, and co-developing assessments or interactive activities. Clear communication and project management skills are essential, as designers facilitate the translation of complex information into accessible, learner-centered experiences. Regular feedback loops and iterative revisions are common, allowing both parties to refine content for maximum effectiveness.

How close is AI to replacing instructional designers?

AI tools are increasingly used to support instructional designers by automating tasks like content generation and data analysis, but they do not fully replace the need for human expertise in designing effective learning experiences. Instructional designers bring creativity, contextual understanding, and learner engagement strategies that AI cannot replicate independently. Therefore, AI is seen as a complement rather than a replacement for instructional designers in the near future.

What are the key skills and qualifications needed to thrive as a Learning Experience Designer, and why are they important?

To thrive as a Learning Experience Designer, you need expertise in instructional design, curriculum development, and a solid understanding of learning theories, often supported by a degree in education, instructional design, or a related field. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), learning management systems (LMS), and multimedia production software is typically required. Creativity, strong communication, and collaboration skills help you design engaging content and work effectively with subject matter experts and stakeholders. These skills ensure the creation of impactful, accessible, and user-centered learning experiences that drive knowledge retention and learner success.
What are popular job titles related to Learning Experience Designer jobs in Quebec? For Learning Experience Designer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Learning Experience Designer jobs in Quebec look for? The top searched job categories for Learning Experience Designer jobs in Quebec are:
Infographic showing various Learning Experience Designer job openings in Quebec as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $93,757 per year, or $45.1 per hour.

Machine Learning Research Scientist

Valence Labs

Montreal, QC • Hybrid

Other

Posted 10 days ago


Job description

About Valence Labs

Valence Labs is Recursion's frontier AI research engine. We lead high-impact research
programs designed to materially expand Recursion's ability to discover and develop medicines for complex diseases. Our team balances near-term pragmatism with a long-term view of where the field is heading in the next 3-5 years, incubating, designing, and productizing the approaches we believe will define the future of drug discovery. 

Our work is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, contribute to open science, and engage with some of the world's most active ML-for-drug-discovery research communities. Our teams are based in London and Montreal, with deep ties to Mila, the world's largest deep-learning research institute.

About the role

We are seeking a Research Scientist with a hybrid research-engineering mindset to join our team. In this role, you will be at the forefront of developing generative architectures and foundation models that ground machine learning in real-world biological discovery. 

A successful candidate will have most of the following:

  • PhD (or equivalent) with significant academic or industry research experience in a related technical field involving machine learning applied to drug discovery.
  • Scientific knowledge of biology, chemistry, or physics, along with previous experience working in a scientific environment across disciplines.
  • Impactful research track record, including designing new neural networks to model molecular or biological systems, proposing new theories, or applying novel ML techniques to real-world problems.
  • Strong technical and engineering skills, including the ability to rapidly prototype ML models (Python proficiency required; Rust preferred for high performance molecular encoding or data pipelines).
  • Leadership and communication skills, including a lead authorship record in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR) or journals (e.g., Nature, Science, JACS).
  • Interdisciplinary empathy, with a proven ability to work effectively with interdisciplinary teams of dry and wet scientists.

Key Responsibilities 

  • Model Innovation: Research and develop state-of-the-art architectures (e.g., flow matching, diffusion models, geometric deep learning) tailored to specific biological or chemical challenges.
  • Scalable Engineering: Build and maintain ML systems capable of processing massive datasets on high-performance compute clusters (BioHive).
  • Biological Grounding: Ensure ML predictions are biologically trustworthy and actionable by collaborating closely with drug discovery teams.
  • Open Science & Collaboration: Publish findings in top-tier venues and contribute to the broader scientific community. 

Working Location & Compensation:

This is an office-based, hybrid position at either of our offices located in Montreal, Quebec, Canada. Employees are expected to work in the office at least 50% of the time.

Compensation packages are competitive and commensurate with the skills and level of experience required for this role. In addition to base salary you will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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