Machine Learning Engineer

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.

Job Title: Machine Learning Engineer

What you'll build

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.

• 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

What you bring

• Bachelor's degree in Computer Science, Mathematics, Physics, or 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 the ability to collaborate in diverse teams

Preferred Qualifications

• 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

Where you belong

The team is a fast-paced and collaborative group focused on building intelligent, large-scale AI systems, particularly leveraging machine learning and large language models (LLMs). It brings together engineers who are passionate about developing modern infrastructure and solving complex technical challenges, while fostering a strong learning environment. Team members work across a diverse and evolving technology stack, partnering closely with product teams to deliver impactful solutions that support SAP's global ecosystem. With an emphasis on innovation, scalability, and continuous growth, the team provides opportunities to gain hands-on experience from concept to production while contributing to high-impact AI initiatives.

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:

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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: 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 00(USD) USD. 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. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

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: 446269 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Requisition ID: 446269

Posted Date: May 23, 2026

Work Area: Solution and Product Management

Career Status: Professional

Employment Type: Regular Full Time

Expected Travel: 0 - 10%

Location: