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Deep Learning Engineer Jobs in Quebec (NOW HIRING)

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 ...

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 ...

New

Go RH

Developpeurse Vision Numerique

Quebec, QC

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 ...

Jestais

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Deep Learning (PyTorch), DeepAR, ARIMA/SARIMA, Prophet, ensemble methods, and Croston/TSB. * Own ...

Jesta I.S.

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Deep Learning (PyTorch), DeepAR, ARIMA/SARIMA, Prophet, ensemble methods, and Croston/TSB.Own the ...

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

You have strong knowledge of applying statistical, machine learning, and deep learning techniques ... You enjoy and are highly proficient in Python programming (knowledge of C++ is considered an asset)

Kinaxis Inc.

$100 - $130/hr

In 1984, we started out as a team of three engineers. Today, we have grown to become a global ... What you will do Bring deep expertise in machine learning and applied AI, and you are energized by ...

Avanade Spain SL

... Engineer) As an AI Engineer within our Data & AI Practice, you'll leverage a client‑centric ... Build, train, and optimize machine learning models, including supervised, unsupervised, and deep ...

SurveyMonkey

$126.40 - $158/hr

Senior Software Engineer II - Machine Learning Platform We are seeking a Senior Software Engineer ... Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language ...

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Deep Learning Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Engineer or AI research director, often involving advanced skills in machine learning frameworks, data modeling, and large-scale system development. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge AI research environments.

What is a Deep Learning Engineer job?

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 are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

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 engineers make $500,000?

Senior engineers in high-demand fields such as software, data science, and machine learning can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like senior software engineers, machine learning engineers, and data architects at large tech companies or startups often reach this compensation level through base salary, bonuses, and stock options.

What do deep learning engineers do?

Deep learning engineers develop and implement neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. They work with large datasets, use frameworks like TensorFlow or PyTorch, and often require knowledge of programming, mathematics, and machine learning principles.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

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 engineers make $300,000 a year?

Senior deep learning engineers and AI specialists with extensive experience, advanced skills in machine learning frameworks, and strong domain knowledge can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as technology, finance, or healthcare, typically involving leadership responsibilities and complex project management.
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:
What job categories do people searching Deep Learning Engineer jobs in Quebec look for? The top searched job categories for Deep Learning Engineer jobs in Quebec are:
Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Quebec as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

ML Research Scientist (probabilistic inference)

LawZero

Montreal, QC

Other

Medical, Retirement, PTO

Posted 17 days ago

Job description

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety research agenda. In this role, you will develop and evaluate probabilistic inference methods, with a focus on amortized inference, translating theoretical insights into practical implementations.

Key responsibilities

  • Develop amortized inference methods suitable for high-dimensional discrete and continuous distributions.
  • Develop parameter- and structure-learning methods for large probabilistic graphical models that benefit from amortized probabilistic inference.
  • Design evaluation strategies for methods that rely on probabilistic inference.
  • Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
  • Translate theoretical proposals into high quality implementations in a programming language such as Python.
  • Analyze and interpret experimental results to steer future research directions.
  • Communicate complex findings effectively to various stakeholders.

Skills and qualifications

  • Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
  • A minimum of 3 years of experience in deep learning research.
  • Expertise in probabilistic inference is required, in addition to expertise in one or more of the following:
    • Bayesian inference
    • Sampling-based approximate inference methods
    • Amortized inference methods (including variational inference methods or Generative Flow Networks)
    • Parameter- and/or structure-learning in probabilistic graphical models (including causal models)
    • Reinforcement learning
    • Optimal control
  • Strong background in mathematics.
  • Proven experience in developing and implementing machine learning models.
  • Proficiency in programming languages such as Python, and experience with  ML frameworks like PyTorch or TensorFlow.
  • Excellent analytical and problem-solving skills, with a demonstrated ability to think critically about complex systems.
  • Strong communication skills, both written and verbal, with the ability to explain complex ideas to diverse audiences.
  • Track record of contributing to high-quality research in probabilistic inference or related fields.
  • Ability to work collaboratively in a team environment while also being self-motivated and independent.

What we offer

  • The opportunity to contribute to a unique mission with a major impact.
  • Comprehensive health benefits.
  • A minimum of 20 days vacation per year upon start.
  • A minimum retirement savings employer contribution of 4%.
  • Generous flexible benefits designed to contribute to your well-being.
  • A team of passionate experts in their field.
  • A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

Apply