SAP (Associate) Developer - Machine Learning in Digital Core Job in Walldorf/St. Leon-Rot, Germany

Requisition ID: 133128

Work Area: Software-Design and Development

Location: Walldorf/St. Leon-Rot

Expected Travel: 0 - 10%

Career Status: Professional

Employment Type: Regular Full 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.


As market leader in enterprise application software, SAP helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition.


The SAP Innovation Center Network is a strategic innovation entity within SAP, combining software engineering excellence with thought leadership and entrepreneurial spirit. Across various focus clusters and by building on strong teams, we pioneer game-changing solutions in close collaboration with startups, customers & partners in industry and research as well as with other SAP units. To ensure a successful go-to-market, we follow an end-to-end responsibility approach. By exploring unconventional ideas and developing inspiring proofs of concept, we push the state-of-the-art in computer science and its applied fields to provide SAP with foresight into future trends.

As an (Associate) Developer for Machine Learning, you will work in a team of experienced researchers and data scientists taking on challenges posed by the SAP customers and product units. You will have the chance to work with the richest data sets available in the world addressing real-world problems. Your primary goal will be to implement state of the art algorithms and to develop new approaches and technologies for deriving value from our customers’ data. You will have a chance to select and implement the best technologies and approaches based on your own experience, judgement, and experimentation results. This role combines (1) experience with machine machine learning with (2) practical knowledge of working with scalable platforms for processing of huge data sets, and (3) ability to understand the data, associated processes and business implications, (4) scaling from minimum viable product up to shippable production code, (5) building and maintaining innovative new products from scratch.


You will work together with a team of dedicated experts including researchers, developers, dev ops engineers, , and architects with a single goal of building best machine learning pipelines for a variety of use cases spanning commerce, financial markets, and procurement. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top notch research prototypes.

Your tasks include:

  • Push the frontiers of what is possible in the area of machine learning so as to create new incubation

  • Explore, understand, and implement most recent algorithms and approaches for supervised and unsupervised machine learning

  • Comfortably handle multi-terabyte data sets in scale-up and scale-out environments

  • Understand business processes which create and consume data so as to be able to select best approaches, evaluate their performance, and asses business relevance

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

  • Communicate the relevance of implemented systems and achieved results in a visual and consistent way


You are a self-starter, goal-oriented, striving for perfection engineer. As an ideal candidate, you will demonstrate a curiosity for exploring new use cases and applications of machine learning to domains spanning processing of video, structured, and other unstructured data. Ideally, you bring breadth across all verticals (image, text, structured / time series data) with a depth in one of them.


  • Master’s or Bachelor’s degree in Computer Science, Mathematics, Statistics, Operations Research or related field

  • Experience in developing novel learning algorithms and/or systems

  • Proficiency in handling of multi-terabyte datasets in distributed Linux/Unix environments

  • First experience with Machine / Deep Learning software packages such as Caffe/Torch/Theano/TensorFlow

  • Ability to visualize data and present core insights in a clear and compelling way

  • Strong desire to overcome obstacles and make your work benefit SAP's customers

  • Excellent English language skills


  • Track record of prior work experience or internships in the area of software engineering or data sciences

  • Knowledge of business software, mostly in the ERP & Finance space

  • Software engineering skills in the area of cloud software or SAP ABAP


At least 2 years of academic or practical experience in deep learning / machine learning / data sciences with a focus on innovation. Graduates are also welcome to apply.




0 - 10%


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.


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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