SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.
SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.
PURPOSE AND OBJECTIVES
SAP's New Ventures & Technology unit 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.
Machine Learning enables computers to learn from large amounts of data without being explicitly programmed. The world's most relevant enterprise data is part of SAP's system and business network. SAP aspires to make all its enterprise solutions intelligent and help customers to leverage their data.
EXPECTATIONS AND TASKS
As an intern (f/m/d) for Machine Learning Research you will work with a team of experienced researchers and data scientists taking on challenges posed by the SAP customers and product units and providing smart services across and beyond the SAP portfolio. You will have the chance to work with the richest data sets available in the world addressing real-world problems.
Together with the research team you will implement and experiment with state-of-the-art machine learning algorithms to support different industries in the SAP ecosystem.
EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES
Your set of application documents should contain a cover letter, a resume in table form, 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). Please describe as well your experience and skills in foreign languages and computer programs / programming languages.
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WHAT YOU GET FROM US
Success is what you make it. At SAP, we help you make it your own.
A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now.
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