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Learning Experience Designer Jobs in Quebec (NOW HIRING)

Cloud Chamber

Senior Level Designer

Montreal, QC · Hybrid

Apply your years of experience and knowledge to mentor junior designers and encourage them to grow ... You're a gamer; always playing the next, new thing, often revisiting the oldies as well, learning ...

2K

Senior Level Designer

Montreal, QC · On-site

Apply your years of experience and knowledge to mentor junior designers and encourage them to grow ... You're a gamer; always playing the next, new thing, often revisiting the oldies as well, learning ...

HollisWealth

Senior Software Designer, AI

Quebec, QC · Hybrid

Has 3 to 7 years of relevant experience in IT solution design; * Is recognized for strong ... A work environment where learning and development are integrated into a collective pursuit of ...

Targeted Talent

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

Targeted Talent

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

Targeted Talent

Senior Deep Learning Engineer

Montreal, 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

Techo-Bloc

Senior Graphic Designer

Saint-hubert, QC · On-site

... learning, and bold ideas, with opportunities to work on inspiring projects that keep creativity ... Experience with data merge and script functions in InDesign to streamline catalog and price list ...

Targeted Talent

Senior Deep Learning Engineer

Montreal, 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

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Learning Experience Designer information

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.

How does a learning experience designer 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.

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.

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. The role's growth is driven by the increasing emphasis on remote learning and digital education platforms.

How to get into learning experience design?

To become a learning experience designer, develop skills in instructional design, user experience, and multimedia tools such as Articulate or Adobe Captivate. Obtain relevant education like a degree in education, instructional design, or a related field, and gain experience through internships or project work to build a strong portfolio.
Learning Experience Designer jobs near you
Infographic showing various Learning Experience Designer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 60% Full Time, 26% Part Time, and 13% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Senior Machine Learning Engineer - (Biometrics)

Jumio

Montreal, QC

Full-time

Re-posted 15 days ago

Job description

Machine Learning Engineer - Biometrics (Computer Vision)

We're looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You'll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.

What You'll Do
  • Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
  • Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.
  • Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
  • Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.
  • Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
  • Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.
What We're Looking For
  • Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis.
  • Deep expertise in computer vision and biometrics, especially face recognition.
  • Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.
  • Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
  • Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
  • Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).
Nice to Have
  • Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness.
  • Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms.
  • Familiarity with privacy, security, and compliance in biometric systems.
  • Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite.
  • Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training.
  • Strong communication skills.

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