Working Student (f/m/d): MACHINE LEARNING

What we offer

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

About the team

Our team, the Deep Learning Center of Excellence, is part of the SAP AI organization. We focus on the development of machine learning models to serve intelligent business services on top of the SAP Cloud Platform.

The role

• Support in all stages of ML project execution, from data preprocessing through modeling, error analysis, and improvement as ML working student
• Improve features for SAP products
• Conduct applied research in machine and deep learning
• Work together with experienced data scientists and machine learning experts

The job is a very good opportunity to collect professional experience and work hands-on on tough ML problems while getting insights into SAP. We are a young team and offer an international and cooperative working atmosphere. We offer flexible working hours and remote work (during the Covid-19 situation we work from home by default). The average weekly working time should be at least 15 hours.

Role requirements

• Enrollment in a master’s degree program in Machine Learning or a related field with at least one year left until graduation.
• Hands-on experience with deep learning algorithms
• Experience with Python and machine learning software packages such as scikit-learn or TensorFlow
• Experience with data and error analysis and ability to clearly present core insights
• Excellent results at university; Proven track record in coursework or projects involving sophisticated machine learning algorithms
• Bachelor’s degree in computer science, statistics, mathematics, physics, or a related field
• Excellent English language skills

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 also describe your experience and skills in foreign languages and computer programs / programming languages.

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We are SAP

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

Our inclusion promise

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 and more equitable world.

SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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: Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com.

EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID:302600 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time |