SAP Thesis / Working student / Intern for Machine Learning Foundation Job in Walldorf/St. Leon-Rot, Germany

Requisition ID: 180235

Work Area: Software-Design and Development

Location: Walldorf/St. Leon-Rot

Expected Travel: 0 - 10%

Career Status: Student

Employment Type: Limited Part Time


SAP’s vision is to help the world run better and improve people’s lives.

As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.

At SAP, we believe in the power of collaboration and empower our employees to perform at their best in an environment that encourages free and open expression of ideas. You’ll work alongside creative thinkers who share your interests, while turning big ideas into reality for our customers. With innovative job training, mentors to help you grow, and the flexibility to balance your work and personal life, you’ll be able to get more out of your career. It’s no wonder that some of the sharpest minds from around the world are working for a company that is consistently recognized as a global top employer.

Now it’s your turn to take the next step and help make the world Run Simple.


Machine Learning (ML) describes algorithms that can learn from data without having to be explicitly programmed. Huge data sets, massive processing power and improved algorithms, especially deep learning, are already revolutionizing consumer applications. ML is going to take enterprise software to a new level, too.

A team of software engineers, researchers, designers and business developers located in Singapore, Potsdam, Walldorf, Ra'anana (Israel) and Palo Alto is working on Machine Learning at SAP. ML is strategic for SAP and we are committed to make all enterprise applications intelligent, eventually.


As an Internship student or Master Thesis student, you’ll be working in a diverse world-class team of engineers and data scientists that is creating the SAP Leonardo Machine Learning Foundation. Your role will be to support the engineering team on development and tools around this platform.

This entails:

  • Perform feasibility studies, technology evaluations and come up with prototypes

  • Work with the team and customers to understand business user requirements

  • Build platform services and tools to support efficient creation and delivery of machine learning services

  • Evaluation and recommendation of tools

  • Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation

  • Work in a diverse team applying Scrum and agile development

  • Collaborate with remote location teams

  • Performing quality assurance tasks



  • Currently enrolled student at a university or university of applied sciences in computer science, engineering or equivalent education; we’re also open for Ph.D. students.

  • Proficiency in one or more of Java, Python, Go, Scala, Node.js, shell

  • Experience with or strong interest in cloud-based development using Kubernetes/Docker, Cloud Foundry, AWS, GCP, Azure and other container/IaaS technologies

  • Experience in REST API implementation

  • Hands-on experience in continuous integration and build tools like Jenkins, Travis CI

  • Experience with RDBMS & NoSQL databases

  • Good working knowledge of widespread software development tools such as git, github, nexus, maven etc.

  • Ability to work independently on given work packages

  • Excellent English language, communication and interpersonal skills

  • Agile/Scrum experience


  • Previous experience extending large code bases, e.g. Open-source project involvement

  • Familiarity with infrastructure automation tools such as Chef, Puppet, Terraform, Vagrant, CloudFormation

  • Proficiency in handling of multi-terabyte datasets, such as with Spark or Hadoop

  • Experience with ML is a plus

Your set of application documents should contain a cover letter, a resume in table form, an envisioned start date, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships).

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To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical, sensory 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 contact us at . Requests for reasonable accommodation will be considered on a case-by-case basis.

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