SAP

Senior Machine Learning Scientist

SAP$108K — $222K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on experience with ML/deep learning frameworks, NLP, LLMs, and agents
  • Strong track record in experimentation and evaluation of ML/AI models, including LLMs
  • Experience with cloud platforms (AWS preferred)
  • Proficiency in Python and SQL
  • Ability to utilize a data-driven mindset for decision making
  • Familiarity with agentic systems and frameworks (preferred)
  • Experience in fine-tuning LLMs and deploying ML models (preferred)

Responsibilities

  • Explore and implement cutting-edge LLMs and agentic frameworks for specific use cases
  • Push boundaries of scalable applied AI with real-world data
  • Collaborate with developers, designers, and business experts to create impactful solutions
  • Ensure model performance and reliability through continuous improvement
  • Engage in interdisciplinary teamwork to develop high user-impact AI features

Benefits

  • Work in a collaborative, interdisciplinary, and innovative environment
  • Opportunity to contribute to cutting-edge AI developments in a global team
  • Engagement in a high-impact role with measurable customer outcomes
  • Exposure to the latest advancements in machine learning and AI technology
  • Regular full-time position with potential for hybrid work arrangements
Full Job Description
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 have a passion for applied AI systems. What you'll build: In this job, you will work closely with our SAP 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 scalable 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.
What you bring:
  • 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
Where you belong: At SAP, you will collaborate across teams and geographies, sharing expertise and elevating Machine Learning engineering practices. You will act as a technical partner and lead by example, helping raise the quality and reliability of production of Machine Learning systems. Requisition ID: 454735 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid Requisition ID: 454735 Posted Date: Jun 9, 2026 Work Area: Software-Design and Development Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location:

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