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JobsSAP

Machine Learning Scientist

SAP

Machine Learning Scientist

SAP

·

On-site

·

Full-time

·

5d ago

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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.

We are looking for a senior seasoned machine learning scientist to join our team at SAP Concur to deliver world class applied AI solutions to millions of users. We solve real-world challenges faced by SAP’s global customers with scalable and robust AI-augmented user experiences. This position is at the forefront of innovation and ambitious AI roadmap of SAP Concur. This is a high-impact individual contributor role for someone who thrives in a fast-paced, data-driven environment, and have a passion for applied AI systems.

Required Skills and Experience:

Proven hands-on experience with ML / deep learning frameworks, NLP, LLMs and agents

Strong track record in experimentation and evaluation of ML / AI models, LLMs and agents

Extensive experience with at least one major cloud platform, AWS preferred

Strong proficiency in Python and SQL:

Demonstrated ability to drive decisions using a data-driven mindset

Preferred Skills and Experience:

Experience with agentic systems and frameworks

Experience with LLM fine-tuning, distillation, retrieval-augmented generation (RAG) systems, grounding techniques

Experience with ML model / LLM deployment and productionization

Tasks:

In this job, you will work closely with our Concur Spend AI team and the Spend product team to deliver real-world, high user-impact AI-driven product features in Finance and Spend domain. Specifically, you will

Explore, implement, experiment and evaluate the most recent LLMs and agentic frameworks in AI field for our use cases;

Push the frontiers of applied AI with real-world data and application.

Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact.

Help to ensure performance, reliability and ongoing improvement of our model deliverables in continuous collaboration with development teams.

Please submit your CV in English

Bring out your best

SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.

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.

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: 427364 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #.

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About SAP

SAP

SAP

Public

The best-run businesses run SAP.

10,001+

Employees

Walldorf

Headquarters

Reviews

4.1

25 reviews

Work Life Balance

4.2

Compensation

3.8

Culture

4.0

Career

3.4

Management

3.2

72%

Recommend to a Friend

Pros

Good work-life balance and flexible arrangements

Excellent benefits and compensation packages

Positive work environment and culture

Cons

Limited career progression and growth opportunities

Job restructuring and layoff concerns

Fast-paced environment requiring strong networking

Salary Ranges

3 data points

L3

L4

L5

L3 ·

0 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

5 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 40%

Negative 60%

Interview Process

1

Application Review

2

HR/Recruiter Screen

3

Phone/Technical Screen

4

Hiring Manager Interview

5

Onsite/Panel Interview

6

Technical Assessment

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

SAP-Specific Technical Skills