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Junior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

Quandela

AI scientist for Quantum Computing

Montreal, QC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Excellent scientific programming skills, particularly in Python and common machine-learning ... Experience mentoring junior researchers or helping define technical research directions. Benefits ...

Quandela

AI scientist for Quantum Computing

Montreal, QC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Excellent scientific programming skills, particularly in Python and common machine-learning ... Experience mentoring junior researchers or helping define technical research directions. Benefits ...

Ubisoft

Software Engineer - MLOPS

Montreal, QC

As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players . You will join the Player ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Apertera

Generative AI Engineer

Montreal, QC · On-site

Work closely with machine learning engineers and data engineers to design, build, and test models. * Develop efficient and scalable algorithms for training and inference of generative models ...

Irth Solutions

Data Science ML/GenAI Engineer

Quebec, QC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The ideal candidate is comfortable working across data exploration, machine learning, NLP/LLM ... Apply sound object-oriented design and software engineering practices when developing and ...

New

Giesecke+Devrient

Senior Data Scientist

Montreal, QC · On-site

The ideal candidate will combine strong expertise in machine learning, statistical modeling ... Work closely with engineering teams to productionize models and analytical pipelines * Ensure ...

TELUS

Senior Software Developer

Montreal, QC · On-site

Our team includes machine learning engineers, data engineers, developers, and technical architects with diverse technical backgrounds to ensure successful public cloud project outcomes that drive AI ...

BBA, Inc.

Junior Advisor, Asset Analytics

Montreal, QC · On-site

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... Support the development of new decision-making technologies leveraging advanced machine learning ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Quebec

Junior Machine Learning Engineer information

See Quebec salary details

$26K

$119.2K

$207.5K

How much do junior machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for junior machine learning engineer in Quebec is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Quebec?

The most popular types of Machine Learning Engineer jobs in Quebec are:

What are popular job titles related to Junior Machine Learning Engineer jobs in Quebec?

For Junior Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:

What cities in Quebec are hiring for Junior Machine Learning Engineer jobs?

Cities in Quebec with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Machine Learning Research Scientist

Valence Labs

Montreal, QC • Hybrid

Full-time

Re-posted 12 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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