Machine Learning Engineer

What you’ll do As a ML Engineer in Bellevue, you will join a new team dedicated to building and maintaining customer support–related AI and agentic solutions that collaborate with thousands of SAP support engineers worldwide and that interact with all of SAP’s customers as part of SAP’s mission‑critical daily customer support offerings in preventive, reactive and value‑adding scenarios across SAP’s product and support portfolio. In your role, you will: Design, train, and evaluate AI models that power customer support solutions. Build and optimize RAG pipelines, embeddings, and agentic workflows for enterprise use. Develop evaluation frameworks to measure model accuracy, relevance, and task completion. Translate business problems into ML solutions with measurable outcomes. Collaborate with team members to productionize applications. Use prompt engineering, model orchestration, and tool‑calling patterns to improve agents. Stay current with the fast‑evolving AI landscape. Contribute to responsible AI and document model features, limitations, and design decisions for technical and non‑technical stakeholders. What you bring 3+ years of experience in ML engineering or data science delivering production solutions. Strong foundation in ML and NLP. Proficiency in Python, ML frameworks (e.g., PyTorch) and modern AI tooling (e.g., LangChain, Hugging Face). Practical experience with LLMs, including fine‑tuning, prompt engineering, RAG, and agentic architectures. Solid understanding of evaluation methodologies. Experience translating research into reliable production systems. Ability to collaborate effectively across engineering, product, and business teams. Curiosity and a continuous‑learning mindset to keep pace with a fast‑moving field. Knowledge of privacy, security and compliance requirements for enterprise software. Location Bellevue, WA (Nearest Major Market: Seattle, Nearest Secondary Market: Bellevue) Compensation Annual combined salary range: 101,900 – 224,000 USD. The actual offer will be within this range based on experience, education, scope of role, location, and other factors. Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability. #J-18808-Ljbffr