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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:
You will be part of the SAP AI Research team focusing on advanced technologies in machine learning and natural language processing (NLP). You will also collaborate closely with the data science experts at the SAP Deep Learning Center of Excellence, contributing to the advancement of the SAP Enterprise AI technologies.
What you’ll do:
Position title: Working student (f/m/d) - Machine Learning
Work Area: Software-Research
Location: Berlin (remote work possible within Germany)
Expected start date: July/August 2023
In this role, you’ll be:
* Working on the next generation of SAP AI solutions for the Enterprise domain
* Developing and fine-tuning Large Language Models (LLMs) such as GPT, BERT, and Transformer architectures for Enterprise AI
* Exploring self-supervised learning on graphs for in-context learning and generative AI
* Investigating the integration of knowledge graphs with LLMs and their interface
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 the possibility for remote work within Germany.
Who you are:
You are a student (f/m/d) at a university or a university of applied sciences. We’re looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful innovative projects and are energized by lifelong learning.
* Hands-on experience with deep learning algorithms, NLP, transformer architecture and/or knowledge graphs
* Experience with Python and machine learning software packages such as scikit-learn or PyTorch
* 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
* Excellent English language skills
Visit our Careers Page for more information on the program.
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 build breakthroughs together
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.
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 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: 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.
Requisition ID: 368580 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid