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Entry Level Machine Learning Engineer Jobs in Quebec

Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.

Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.

Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...

... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...

... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...

... machine learning methods: Data manipulation and transformation Model selection, training, and validation Programming and integration into our software product suite * Documenting and testing ...

... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...

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Entry Level Machine Learning Engineer information

See Quebec salary details

$21K

$87.2K

$186K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for entry level machine learning engineer in Quebec is $87,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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 Entry Level Machine Learning Engineer jobs in Quebec? For Entry Level Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Quebec look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Quebec are:
Infographic showing various Entry Level Machine Learning Engineer job openings in Quebec as of June 2026, with employment types broken down into 58% Full Time, 39% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $87,195 per year, or $41.9 per hour.

Programmeur · se Senior C++ - Machine Learning

Ubisoft

Montreal, QC

Full-time

Posted 18 days ago


Job description

Description de l'entreprise

Ubisoft est un·e chef·fe de file mondial·e dans l’industrie du jeu vidéo, avec des équipes partout dans le monde qui créent des expériences originales et mémorables, d’Assassin’s Creed et Rainbow Six à Just Dance et bien plus encore. Nous sommes convaincu·e·s que la diversité des perspectives permet aux joueur·euse·s comme aux équipes de s’épanouir. Si vous êtes passionné·e par l’innovation et par le fait de repousser les limites du divertissement, joignez‑vous à nous et contribuez à créer l’inconnu !

Description du poste

Ce que vous ferez : 

Nous sommes à la recherche un programmeur principal en C++ qui contribuera au développement d’applications dans le domaine du Machine Learning. Le rôle du programmeur principal en C++ avec une expérience en IA/ML est d’apporter les meilleures pratiques et principes de conception pour aider l’équipe à réaliser notre feuille de route ambitieuse. 

Responsabilités principales : 

  • Fournir et soutenir des systèmes ML basés sur les exigences et objectifs commerciaux. 

  • Développer, intégrer et maintenir des moteurs d’inférence, des bibliothèques et des frameworks ML. 

  • Exploiter le meilleur matériel (NPU, GPU, CPU) pour accélérer les calculs liés au ML. 

  • Développer des systèmes pour évaluer, optimiser et mesurer les performances des modèles. 

  • Intégrer et maintenir les systèmes ML dans les moteurs de jeu et dans les jeux.  

  • Écrire des tests unitaires et des tests d’intégration. 

  • Collaborer avec l’équipe de science des données, les programmeurs spécialisés (gameplay, AI etc.), l’équipe de recherche et d’autres parties prenantes comme les productions. 

  • Programmer de manière claire et structurée en respectant les exigences de performance, de maintenance, de modularité, de scalabilité et de compatibilité. 

Autres responsabilités : 

  • Créer des preuves de concept, ce qui peut nécessiter la formation de modèles, l’affinage, l’expérimentation avec différentes techniques et modèles. 

  • Suggérer des améliorations lorsque nécessaire en concevant et en mettant en œuvre de nouveaux systèmes ou en améliorant les systèmes existants. 

  • Mener des recherches pour rester à jour avec les dernières avancées. 

  • Documentation, présentations et partage de connaissances pour communiquer des concepts d’IA complexes à des collaborateurs techniques et non techniques. 

Qualifications

Ce que vous apportez : 

Éducation : 

Diplôme de baccalauréat en informatique ou en génie informatique ou équivalent.  

Un master en apprentissage automatique ou tout autre master pertinent est un véritable atout. 

Expérience pertinente : 

Minimum 10 ans d’expérience en programmation C++. 

Minimum 5 ans d’expérience en IA/ML. 

Compétences principales : 

  • Connaissance approfondie du C++ requise. 

  • Solides compétences en architecture. 

  • Bonne connaissance du matériel, pour tirer parti du multithreading et optimiser la gestion de la mémoire. 

  • Bonne connaissance des fondamentaux de l’apprentissage automatique et profond. 

Autres compétences : 

  • Maîtrise de Python est un atout. 

  • Expérience de travail avec des moteurs de jeu est un atout. 

  • Connaissance ou expérience en Reinforcement Learning (apprentissage par renforcement).


Informations complémentaires

Quoi nous envoyer

  • Votre CV mettant en valeur votre formation, votre expérience, vos compétences et les jeux livrés