ZipRecruiter

Log In

1

Deep Learning Engineer Jobs in Quebec (NOW HIRING)

LawZero

Senior Distributed ML Engineer

Montreal, QC · On-site

A track record of contributing to high-quality research projects in deep learning. The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based ...

LawZero

Senior ML Research Scientist

Montreal, QC · On-site

Benchmark and optimize model performance and efficiency along with ML engineers to ensure the ... A track record of contributing to high-quality research projects in deep learning. What we offer

LawZero

Senior ML Research Developer

Montreal, QC · On-site

We are seeking a senior machine learning (ML) research developer to join our team working on a ... A track record of contributing to high-quality research projects in deep learning. What we offer

United Airlines

GEN AI Specialist

Montreal, QC · On-site

Develop predictive models by selecting, training, and tuning traditional machine learning and deep learning algorithms. Framework & Pipeline Engineering * Build scalable pipelines for data ...

Stay22

Senior ML/DL Developer

Montreal, QC · On-site

Machine learning et deep learning * Excellente maîtrise de Python et des bibliothèques de deep learning telles que PyTorch ou TensorFlow, ainsi que scikit-learn. * Solide compréhension des ...

Desjardins Group

Data internship, Fall 2026

Levis, QC · Hybrid

... deep learning and development frameworks (keras, tensorflow, pytorch, etc.) for advanced analytics * Knowledge of generative AI models and solutions (synthetic data, LLMs, prompt engineering, etc ...

Go RH

Developpeurse Vision Numerique

Quebec, QC · On-site

Choisir l'approche selon le probleme : vision classique (morphologie, filtrage, calibration, stereovision) ou Deep Learning (detection et segmentation temps reel avec YOLO ou architectures similaires ...

Autodesk

Senior Applied AI/ML Developer

Montreal, QC · Remote

Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics ... Pandas, deep learning frameworks, traditional ML, probability calibration etc. * Knowledge of ...

previous pagenext page

Showing results 21-40

All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Quebec

Deep Learning Engineer information

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Quebec? For Deep Learning Engineer jobs in Quebec, the most frequently searched job titles are:
Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Quebec as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Senior Distributed ML Engineer

LawZero

Montreal, QC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key Responsibilities
  • Collaborate with researchers to accelerate research, model training and inference, and facilitate the use of large-scale models in distributed computing environments.
  • Investigate performance bottlenecks, profile research experiment code, debug reported issues, and optimize the utilization of computing resources.
  • Develop tools and libraries to simplify and orchestrate the use of distributed computing resources for research experiments.
  • Establish, document, and maintain best practices for large-scale, distributed ML model development workflows.
Skills and Qualifications
  • A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master's or PhD) related to machine learning or distributed ML systems is preferred but not required if the candidate demonstrates exceptional abilities and experience.
  • 3+ years of experience in designing and implementing distributed ML training frameworks, with recent experience using e.g. Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM,  and/or verl.
  • Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM).
  • Experience with GPU profiling tools (e.g. PyTorch profiler, PyProf, NVIDIA Nsight).
  • Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
  • Familiarity with data infrastructures and platforms (e.g., vector databases).
  • A track record of contributing to high-quality research projects in deep learning.

The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based on jurisdiction.

What we offer

  • The opportunity to contribute to a unique mission with a major impact.
  • Comprehensive health benefits (including mental health and wellness management account)
  • 20 days of vacation per year upon start
  • Employer contribution of 4% to your retirement savings, with no required employee matching
  • Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
  • A team of passionate world-class experts in their field
  • A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

Apply