
The best-run businesses run SAP.
Machine Learning Engineer - Application AI Apps Product Engineering
필수 스킬
Python
Java
Go
Kafka
Machine Learning
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.
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.
Description
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.
Key Responsibilities:
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Develop and maintain backend services, APIs, and data pipelines in Go, Java, or Python
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Support the optimization of databases, services, and LLM infrastructure
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Work with modern technologies such as Kafka, Postgres, Hana, gRPC, and AI/ML frameworks
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Collaborate with senior engineers to learn best practices in system design and scalability.
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Partner with cross-functional teams to deliver features aligned with business goals
Minimum Qualifications:
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Bachelor’s degree in Computer Science, Mathematics, Physics, or related field (or equivalent experience)
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4 to 6 years of software engineering experience, ideally with exposure to backend or AI/ML systems
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Strong programming skills in at least one language (e.g., Python, Java, or Go)
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Familiarity with databases, APIs, or distributed systems concepts
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Basic understanding of CI/CD pipelines and modern development practices
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Good communication skills and ability to collaborate in diverse teams
Preferred Qualifications
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Personal or open-source projects that showcase your technical curiosity with AI/ML or LLM frameworks
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Interest in distributed systems and large-scale product development
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A problem-solving mindset and eagerness to learn new technologies
Why Join Us
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Work on cutting-edge AI and LLM systems used across SAP’s global platforms
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Learn directly from experienced engineers in a supportive, collaborative environment
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Gain exposure to a wide range of modern tools and technologies
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Contribute to projects that help shape SAP’s AI strategy and product capabilities
#DevT2
#sapaiapp 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.
Successful candidates might be required to undergo a background verification with an external vendor.
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: 434897 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
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SAP 소개

SAP
PublicThe best-run businesses run SAP.
10,001+
직원 수
Walldorf
본사 위치
$157B
기업 가치
리뷰
10개 리뷰
3.8
10개 리뷰
워라밸
3.2
보상
3.5
문화
4.1
커리어
3.4
경영진
3.6
65%
지인 추천률
장점
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
단점
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
연봉 정보
2개 데이터
Intern
L3
L4
L5
Intern · Data Scientist
0개 리포트
$68,766
총 연봉
기본급
-
주식
-
보너스
-
$58,453
$79,079
면접 후기
후기 5개
난이도
4.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 40%
부정 60%
면접 과정
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
자주 나오는 질문
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
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