トレンド企業

SAP
SAP

The best-run businesses run SAP.

Machine Learning Engineer - Application AI

職種機械学習
経験ミドル級
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Python

Java

Go

Kafka

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.

What you’ll do

  • Design, 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 and apply 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)

  • 4 to 7 years of software engineering experience, ideally with backend or AI/ML exposure

  • Strong programming skills in at least one language (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 work in diverse, collaborative teams Preferred:

  • Internship or project experience with AI/ML or LLM frameworks

  • Personal or open-source projects that demonstrate technical curiosity

  • Interest in distributed systems and large-scale product development

  • A problem-solving mindset and eagerness to learn new technologies

Meet your team

You’ll join a fast-moving and collaborative team building AI and **large language model (LLM)**systems at scale. We are passionate about tackling challenging technical problems, working across a diverse technology stack, and delivering solutions that power SAP’s global ecosystem. In this role, you’ll gain hands-on experience taking ideas from concept to production, learn directly from experienced engineers, and contribute to high-impact AI initiatives that shape SAP’s AI strategy.

#DevT2

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: 434846 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:

閲覧数

0

応募クリック

0

Mock Apply

0

スクラップ

0

SAPについて

SAP

SAP

Public

The best-run businesses run SAP.

10,001+

従業員数

Walldorf

本社所在地

$157B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

3.2

報酬

3.5

企業文化

4.1

キャリア

3.4

経営陣

3.6

65%

知人への推奨率

良い点

Flexible hours and remote work options

Supportive management and team collaboration

Good benefits and training programs

改善点

Work-life balance challenges and overwhelming workload

Fast-paced environment with unrealistic deadlines

Limited career advancement opportunities

給与レンジ

2件のデータ

Intern

L3

L4

L5

Intern · Data Scientist

0件のレポート

$68,766

年収総額

基本給

-

ストック

-

ボーナス

-

$58,453

$79,079

面接レビュー

レビュー5件

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 40%

ネガティブ 60%

面接プロセス

1

Application Review

2

HR/Recruiter Screen

3

Phone/Technical Screen

4

Hiring Manager Interview

5

Onsite/Panel Interview

6

Technical Assessment

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

SAP-Specific Technical Skills