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Machine Learning Engineer Intern Jobs in Montreal, QC

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 ...

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 ...

About the Role As a Developer Intern, you'll work closely with experienced developers and product ... Throughout your internship, you'll contribute to meaningful projects while learning modern ...

The Role We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as ... Machine Learning Platform Exposure: Experience supporting machine learning workflows, feature ...

You will develop advanced machine learning algorithms, optimize open-source frameworks, and ... Framework & Pipeline Engineering Build scalable pipelines for data preprocessing, feature ...

If you thrive on tackling interesting challenges with continuous learning opportunities, then ... About the Role We are looking for an intern for a period of 4 months to carry out a paid internship ...

Showing results 21-40

Machine Learning Engineer Intern information

See Montreal, QC salary details

$22.9K

$120.4K

$214.9K

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

As of Aug 19, 2026, the average yearly pay for machine learning engineer intern in Montreal, QC is $120,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,312.00 and $163,538.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Montreal, QC?

The most popular types of Machine Learning Engineer jobs in Montreal, QC are:

What are popular job titles related to Machine Learning Engineer Intern jobs in Montreal, QC?

For Machine Learning Engineer Intern jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Montreal, QC look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Montreal, QC are:

Infographic showing various Machine Learning Engineer Intern job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $120,399 per year, or $57.9 per hour.

Senior Machine Learning Developer / Développeur senior en apprentissage automatique

SAP

Montreal, QC • On-site

Full-time

Posted 28 days ago


Job description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

Senior Machine Learning Developer 

We are seeking a highly skilled and driven Senior Machine Learning Developer to design and deliver intelligent, distributed systems that power large-scale AI and large language model (LLM) capabilities. In this role, you will shape cutting-edge infrastructure, mentor world-class engineers, and bring bold ideas from concept to production—driving meaningful impact across SAP’s global ecosystem.


Description

As a key member of our fast-moving team, you will have the unique opportunity to define and execute the vision for AI and LLM‑based systems at scale. We are looking for someone with exceptional programming expertise, deep distributed systems knowledge, and the curiosity and grit to tackle complex, ambiguous challenges. You will work across a diverse technology stack, collaborate closely with engineers and product leaders, and help set the technical direction for AI initiatives.


Key Responsibilities

  • Architect, design, and implement production systems in Go, Java, and Python (full‑stack experience a plus).
  • Build and optimize backend services, databases, APIs, and LLM infrastructure.
  • Leverage technologies such as Kafka, Postgres, HANA, gRPC, and advanced LLM frameworks.
  • Mentor and guide engineers from junior to senior levels, fostering technical excellence.
  • Partner with cross‑functional teams to translate business goals into scalable, high‑impact solutions.

Application Requirement

English-language resumes are required for this position. Please submit your application details (resume/cover letter) in English.


Minimum Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Physics, or related field, with strong programming expertise.
  • 6+ years of software engineering experience, with a track record of delivering complex systems.
  • Proven ability to work independently and lead initiatives from idea to deployment.
  • Hands-on experience with AI/ML and/or LLM systems in a production environment.
  • Expertise in distributed systems design and implementation.
  • Familiarity with CI/CD pipelines and modern development practices.
  • Strong English communication skills and ability to thrive in a global, multicultural team.

Preferred Qualifications

  • Open-source contributions or significant personal technical projects.
  • Experience integrating AI capabilities into large‑scale enterprise products.
  • Strong problem‑solving skills and an iterative, results‑oriented mindset.

Why Join Us

  • Build cutting-edge AI and LLM systems used across SAP’s global platform.
  • Work in a high‑autonomy, trust‑based environment without unnecessary bureaucracy.
  • Collaborate with some of the best engineers in the industry in a fast‑paced, impact‑driven team.
  • Take ownership of projects that directly influence SAP’s AI strategy and product capabilities.

 

French Job Description

Developpeur senior en apprentissage automatique

Nous recherchons un ingénieur senior en apprentissage automatique hautement qualifié et motivé pour concevoir et mettre en œuvre des systèmes distribués intelligents qui exploitent les fonctionnalités de l’IA et des grands modèles de langage (LLM) à grande échelle. À ce poste, vous mettrez en place une infrastructure de pointe, vous encadrerez des ingénieurs de classe mondiale et vous concrétiserez des idées audacieuses de la conception à la mise en production, contribuant ainsi de manière significative à l’écosystème mondial de SAP.


 

Description

En tant que membre clé de notre équipe dynamique, vous aurez l’opportunité unique de définir et de mettre en œuvre la stratégie relative aux systèmes basés sur l’IA et les LLM à grande échelle. Nous recherchons une personne dotée d’une expertise exceptionnelle en programmation et d’une connaissance approfondie des systèmes distribués, ainsi que de la curiosité et de la ténacité nécessaires pour relever des défis complexes. Vous travaillerez sur une pile technologique diversifiée, vous collaborerez étroitement avec les ingénieurs et les chefs de produit, et vous contribuerez à définir l’orientation technique des initiatives en matière d’IA.


 

Principales responsabilités

  • Conçoit et met en œuvre des systèmes de production dans Go, Java et Python (une expérience full-stack est un atout).
  • Développe et optimise les services backend, les bases de données, les API et l’infrastructure LLM.
  • Exploite des technologies telles que Kafka, Postgres, HANA, gRPC et les cadres LLM avancés.
  • Conseille et oriente les ingénieurs débutants et expérimentés pour les aider à atteindre l’excellence technique.
  • Collabore avec des équipes transversales pour traduire les objectifs métier en solutions évolutives à fort impact.

 

Exigence de candidature : 

Pour ce poste, les CV doivent être rédigés en anglais. Veuillez envoyer votre candidature (CV/lettre de motivation) en anglais.


 

Qualifications minimales

  • Baccalauréat en informatique, mathématiques, physique ou dans un domaine connexe, avec une solide expertise en programmation.
  • Plus de 6 ans d’expérience en génie logiciel, avec une expérience avérée dans la mise en œuvre de systèmes complexes.
  • Capacité avérée à travailler de façon autonome et à mener à bien des projets, de la conception au déploiement.
  • Expérience pratique des systèmes d’IA/ML et/ou LLM dans un environnement de production.
  • Expertise dans la conception et la mise en œuvre de systèmes distribués.
  • Bonne connaissance des pipelines d’intégration et de livraison continues (CI/CD) et des pratiques de développement modernes.
  • Excellente aptitude à communiquer en anglais et capacité à intégrer une équipe internationale et multiculturelle.

Qualifications souhaitées

  • Contribution à des projets open source ou réalisation de projets techniques personnels significatifs.
  • Expérience dans l’intégration de fonctionnalités d’IA à des produits d’entreprise à grande échelle.
  • Solides compétences en matière de résolution de problèmes et approche itérative axée sur les résultats.

 

Notre offre

  • Vous développerez des systèmes d’IA et de LLM de pointe utilisés sur l’ensemble de la plateforme mondiale de SAP.
  • Vous travaillerez dans un environnement hautement autonome basé sur la confiance, sans bureaucratie inutile.
  • Vous collaborerez avec les meilleurs ingénieurs du secteur au sein d’une équipe dynamique axée sur les résultats.
  • Vous mènerez à bien des projets qui influencent directement la stratégie d’IA et les fonctionnalités produit de SAP.

#SAPAICareers #SAPAIAPP

#LI-AK5 

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 108100-222800CAD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. A summary of benefits and eligibility requirements can be found by clicking this link:  www.SAPNorthAmericaBenefits.com.
Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.