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Machine Learning Developer Intern Jobs in Quebec

... Developer Position overview As a Senior ML Developer on the team, you will be responsible for ... Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms * Perform ...

... Methods and Programming Director, the intern will support the programmers. Responsibilities ... Determine required machining steps in collaboration with the Methods Department. * Read and ...

We are seeking a senior 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 ...

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 ...

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 ...

Production Manager Reporting to the Production Engineer, the Documentation & Methods Intern ... You'll grow through meaningful work, continuous learning, and support that's tailored to your goals.

D. degree in Artificial Intelligence, Machine Learning, Data Science, or a related field. * You ... You enjoy and are highly proficient in Python programming (knowledge of C++ is considered an asset)

Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed ... SAP iXp Intern - AI Engineer Location: Montreal, QC Expected start date to end date: September 2026 ...

Showing results 41-60

Machine Learning Developer Intern information

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Infographic showing various Machine Learning Developer Intern job openings in Quebec as of August 2026, with employment types broken down into 90% Full Time, and 10% Temporary. Highlights an 100% In-person job distribution.

Senior Applied AI/ML Developer

Autodesk

Montreal, QC • On-site

Full-time

Re-posted yesterday


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

25th of 245 rated software companies


Job description

Job Requisition ID #

26WD99788

L'affichage de poste en francais suivra / The French job posting follows

26WD99788 Sr. Applied AI/ML Developer

Position overview

As a Senior ML Developer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across dedicated RAG programs of work. Your horizontal expertise in testing, evaluation and causal inference in the vertical domain of user interaction with text outputs, Information Retrieval as a theoretical discipline as the enabling tool will drive end-to-end planning, POC-building, offline and online evaluation and pushing features into the hands of users.

The Senior MLE will work to deliver ML-driven technical solutions to customer needs in our platform. Sr MLEs help in coordinating delivery as part of multi-disciplinary stakeholder teams. This role is hands-on, focusing on technical problem solving with the latest in NLP and ML technology.

Our team culture is built on collaboration, mutual support, and continuous learning. As a Senior MLE, you will provide technical guidance and expertise for the team, and with other stakeholders. We emphasize an agile, hands-on, and technical approach at all levels of the team.

As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.

Responsibilities

  • Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms

  • Perform statistical and data analysis and exploration to generate datasets for model training and development

  • Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice

  • Provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform.

  • Partner with stakeholders, to solve important business objectives across a range of problems

  • Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning

Minimum Qualifications

  • MS/M.Tech/M.Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields

  • 3+ years of applicable work experience in ML

  • Hands-on experience of NLU and integrating traditional search techniques into RAG

  • Proficiency with the Python Machine Learning stack, e.g. Pandas, deep learning frameworks, traditional ML, probability calibration etc.

  • Knowledge of experimental design and analysis of results

  • Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production

  • Demonstrate experience working in cross-functional teams to deliver ML solutions in production

____________________________________________________________________________

26WD99788 Developpeur principal en IA/apprentissage automatique applique

Apercu du Poste

En tant que developpeur principal en apprentissage automatique au sein de l'equipe, vous serez charge de diriger ou de contribuer a la conception, a l'analyse et a la mise en uvre de solutions fondees sur les donnees afin de relever des defis d'affaires majeurs dans le cadre de programmes de travail RAG dedies. Votre expertise horizontale en matiere de tests, d'evaluation et d'inference causale dans le domaine vertical de l'interaction des utilisateurs avec les sorties textuelles, ainsi que la recherche d'information en tant que discipline theorique et outil facilitateur, vous permettront de piloter la planification de bout en bout, la creation de preuves de concept (POC), l'evaluation hors ligne et en ligne, ainsi que la mise a disposition des fonctionnalites aupres des utilisateurs.

Le specialiste principal en apprentissage automatique (MLE) travaillera a fournir des solutions techniques basees sur l'apprentissage automatique pour repondre aux besoins des clients sur notre plateforme. Les specialistes principaux en apprentissage automatique aident a coordonner la mise en uvre au sein d'equipes multidisciplinaires composees de parties prenantes. Ce poste est axe sur la pratique et met l'accent sur la resolution de problemes techniques a l'aide des dernieres technologies en traitement du langage naturel (TLN) et en apprentissage automatique.

La culture de notre equipe repose sur la collaboration, le soutien mutuel et l'apprentissage continu. En tant que specialiste principal en apprentissage automatique, vous fournirez des conseils techniques et votre expertise a l'equipe ainsi qu'aux autres parties prenantes. Nous mettons l'accent sur une approche agile, pratique et technique a tous les niveaux de l'equipe.

En tant que groupe, nous souhaitons ameliorer continuellement notre apprentissage automatique ainsi que notre connaissance des tendances et des techniques pertinentes pour nos domaines. Notre equipe vise l'excellence tant dans la theorie que dans la pratique de l'apprentissage automatique. Nous encourageons le developpement personnel et le partage des connaissances.

Responsabilites

  • Concevoir et mettre en uvre des capacites d'apprentissage automatique qui ameliorent les plateformes RAG d'Autodesk

  • Effectuer des analyses et des explorations statistiques et de donnees afin de generer des ensembles de donnees pour l'entrainement et le developpement de modeles

  • Collaborer avec les autres membres de l'equipe pour trouver de meilleures solutions et positionner notre equipe a la fine pointe de la technologie et des pratiques en matiere d'apprentissage automatique

  • Assurer le leadership technique et le mentorat aupres des membres moins experimentes de l'equipe afin de livrer des fonctionnalites cles basees sur l'apprentissage automatique pour notre plateforme client numerique.

  • Collaborer avec les parties prenantes pour atteindre des objectifs d'affaires importants en abordant un large eventail de problemes

  • Traduire les exigences et les objectifs d'affaires en problemes pouvant etre resolus grace a une combinaison de donnees, de statistiques et d'apprentissage automatique

Qualifications Minimales

  • Maitrise (MS/M.Tech/M.Math) ou doctorat (Ph.D.) en informatique, statistiques, mathematiques, physique, developpement logiciel, economie, linguistique computationnelle ou dans des domaines connexes

  • Au moins 3 ans d'experience professionnelle pertinente en apprentissage automatique

  • Experience pratique de la comprehension du langage naturel (NLU) et de l'integration de techniques de recherche traditionnelles dans le RAG

  • Maitrise de la pile d'apprentissage automatique en Python, p. ex. Pandas, les cadres d'apprentissage profond, l'apprentissage automatique traditionnel, l'etalonnage des probabilites, etc.

  • Connaissance de la conception experimentale et de l'analyse des resultats

  • Experience averee dans la direction d'equipes d'apprentissage automatique pour le deploiement et l'amelioration de fonctionnalites d'apprentissage automatique en production

  • Experience averee de travail au sein d'equipes interfonctionnelles pour la mise en uvre de solutions d'apprentissage automatique en production

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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About Autodesk

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Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982