Machine Learning Engineer

SAP•Montreal, QC

6d•$77,500 - $166,200•Hybrid

About The Position

We are seeking a motivated and curious Machine Learning Engineer to help build intelligent systems that power large-scale AI and large language model (LLM) capabilities. In this role, you will contribute to the design and development of modern infrastructure, collaborate with experienced engineers, and gain hands-on experience bringing ideas from concept to production—driving meaningful impact across SAP’s global ecosystem. As part of our fast-moving team, you’ll have the opportunity to work on AI and LLM-based systems at scale. We are looking for someone with strong programming skills, an eagerness to learn distributed systems, and the determination to tackle challenging technical problems. You’ll work across a diverse technology stack, collaborate with teammates and product partners, and grow your expertise while contributing to high-impact AI initiatives.

Requirements

Bachelor’s degree in Computer Science, Mathematics, Physics, or a related field (or equivalent experience).
2+ years of software engineering experience, ideally with exposure to backend or AI/ML systems.
Strong programming skills in at least one language (e.g., Python, Java, or Go).
Familiarity with databases, APIs, or distributed systems concepts.
Basic understanding of CI/CD pipelines and modern development practices.
Good communication skills and ability to collaborate in diverse teams.
English-language resumes are required for this position. Please submit your application details (resume/cover letter) in English.

Nice To Haves

Internship or project experience with AI/ML or LLM frameworks.
Personal or open-source projects that showcase your technical curiosity.
Interest in distributed systems and large-scale product development.
A problem-solving mindset and eagerness to learn new technologies.

Responsibilities

Develop and maintain backend services, APIs, and data pipelines in Go, Java, or Python.
Support the optimization of databases, services, and LLM infrastructure.
Work with modern technologies such as Kafka, Postgres, HANA, gRPC, and AI/ML frameworks.
Collaborate with senior engineers to learn best practices in system design and scalability.
Partner with cross-functional teams to deliver features aligned with business goals.

Benefits

Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Work on cutting-edge AI and LLM systems used across SAP’s global platforms.
Learn directly from experienced engineers in a supportive, collaborative environment.
Gain exposure to a wide range of modern tools and technologies.
Contribute to projects that help shape SAP’s AI strategy and product capabilities.
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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.
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.
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.
A summary of benefits and eligibility requirements can be found by clicking this link: www.SAPNorthAmericaBenefits.com.