SAP iXp Intern - Leonardo Machine Learning Data Scientist

SAP - Palo Alto, CA4.3

Requisition ID: 202768
Work Area: Customer Service and Support
Expected Travel: 0 - 10%
Career Status: Student
Employment Type: Intern


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.

About the SAP Internship Experience Project

SAP’s Internship Experience Project is SAP’s global, paid internship program that provides university students with the opportunities to find purpose in their careers.

Three reasons to intern at SAP

Culture of collaboration: Meet with mentors, make new friends across the globe and create a thriving personal network.
Project-driven experience: Gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
Gain visibility: With the Internship Experience Project (iXp) in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.

About the team:
SAP Leonardo Machine Learning 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 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 leverage their data.

As an intern for the SAP Leonardo Machine Learning Business Network team, you will work together with a team of dedicated experts including researchers, developers, dev-ops engineers, and architects with a single goal of building the best machine learning pipelines for a variety of use cases spanning commerce, financial markets, procurement, and more. 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.

What you’ll do:
Position Title: SAP iXp Intern - Leonardo Machine Learning Data Scientist

Location: Palo Alto, CA

Expected start date to end date: June 10, 2019 – August 16, 2019

In this role, you’ll:
Closely work with partners and production teams to deliver end-to-end machine learning solutions from data collection and model design to model deployment.
Work with the richest enterprise data sets addressing real-world problems.
Implement and experiment with state-of-the-art machine learning algorithms in collaboration with our data scientists to support different industries in the SAP ecosystem.
Participate in projects in the area of prediction, optimization, and processes using advanced statistical / mathematical approaches, in the enterprise environment.
Learn how to design the best architecture and select the most appropriate modeling techniques and data visualization for big data analysis.
Gain experience in hands-on software development.
Iteratively test, refine, and improve machine learning models.

Who you are:
We’re looking for someone who can challenge the status quo and likes to stay curious. You enjoy working on meaningful projects and are energized by lifelong learning.

Current student working towards a Ph.D. or M.S. in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related topic.
Solid background in Machine Learning, preferred knowledge in one of the following areas: Transfer Learning, Multi-task Learning, Weakly Supervised Learning, Automatic Machine Learning
Willingness to learn and work with a team.
Ability to approach problems in an innovative way with an open-mind.
Experience in statistical modeling, machine learning, or data mining.
Experience in SQL, relational databases, and database concepts.
Proficient in one or more programming languages, such as Python.
Applied knowledge in deep learning frameworks, such as Tensorflow, Pytorch etc.
Knowledge in Natural Language Processing, Information Retrieval preferred.
Must be able to work onsite in Palo Alto, CA.
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.

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 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. ( or, APJ:, EMEA: Requests for reasonable accommodation will be considered on a case-by-case basis. Successful candidates might be required to undergo a background verification with an external vendor.

EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.

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

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