Machine Learning Scientist

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong.

What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

We are looking for a 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 has a passion for applied AI systems.

• 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.
• Explore, implement, experiment, and evaluate the most recent LLMs and agentic frameworks in the 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.

• 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.

• 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.

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.

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 world.

SAP is committed to the values of Equal Employment Opportunity and provides 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:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender…