Machine Learning Engineer Intern Jobs in Quebec (NOW HIRING)

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. 

About the SAP Internship Experience Program 

The SAP Internship Experience Program is SAP's global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. 

Three reasons to intern at SAP 

1. Culture of collaboration:meet with mentors, make new friends across the globe and create a thriving personal network. 

1. Project-driven experience:gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. 

1. Gain visibility:with SAP Internship Experience Program in your title, you'll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips. 

What you'll do 

Position title: SAP iXp Intern - AI & Data Engineer Foundation Model

Location: Montreal, QC

Expected start date: June 2026 (8 months)

• Collaborate with Applied AI Researchers and AI Engineers to support data needs for various research projects.
• Develop opportunities to shape and have an influential impact on the future of SAP's AI portfolio and its suite of enterprise software products.
• Work with cloud platforms for data processing, data lakes, and model training providers.
• Gain hands-on experiences with Python, Machine Learning/Deep Learning libraries & Knowledge Graphs.
• Develop and maintain data pipelines for structured data powering the training of Foundational Models for Tabular Data.
• Build innovative tools to enrich and scale the training of large machine models on enterprise software data

What you bring 

We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Data Science or a related field.  
• Good communication and teamwork abilities. 
• Strong understanding of Machine Learning algorithms and Deep Learning pre-training & fine-tuning techniques, particularly in the context of structured data. 
• Experience in Python for Data Science and experience with Machine Learning framework for Deep Learning 
• Experience with cloud-based Data Lakes & data processing pipeline on large volumes of data (e.g., Azure ML, Databricks, Apache Spark). 
• Knowledge or experience working with SAP ERP Software (such as S/4HANA or ECC) and SAP BTP is a plus.  
• Knowledge of version control systems like Git and familiar with using Unix or windows-based command lines. 
• Bachelor's or Master's degree (ongoing or recently completed) 

Meet your team 

Language foundational models, like LLMs, have been pivotal in driving generalization across various NLP tasks. Our SAP Foundation Model Team for structured data aims to establish a centralized foundation with graph and generative intelligence that can effectively support cross-SAP AI use cases, particularly for tabular AI tasks.  

The success of this foundation model depends heavily on several factors, including the quality, type, format, volume, and scheduling of the pre-training data. This makes the data pipeline and overall data strategy critical to its success. 

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 hourly base salary rate range applicable for the posted role. The targeted range for this position is 18.00 -40.00 CAD. The actual amount to be offered to the successful candidates 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. SAP offers limited benefits for employees hired into hourly or like roles subject to appliable plan/policy terms. 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.
Requisition ID: 448285  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations: #LI-Hybrid