Machine Learning Engineer

About SAP

SAP helps the world run better. 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. 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. SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.

The Role

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 and daily customer support offerings in preventive, reactive and value-adding scenarios across SAP's product and support portfolio. Your team will be part of the AI & Support Engineering organization with a decade of experience delivering enterprise AI at scale.

Responsibilities

• 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.
• Fluent in English.

Your Team

We build intelligent solutions for the customer support ecosystem from data to production. Our experienced engineers and data experts are known for their innovation culture. We use AI to help customers faster, smarter and more preventive.

Why SAP

The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. You'll enjoy constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

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. 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.

Compensation and Benefits

Annualized Compensation Range: 101,900 – 224,000 USD

The targeted annual combined range for this position is inclusive of base salary and variable incentive target for the career level applicable to the posted role. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance.

Please reference the SAP North America Benefits summary for benefits and eligibility requirements.

Job Details

• Location: Bellevue (Hybrid)
• Work Area: Software-Design and Development
• Employment Type: Regular Full Time
• Career Status: Professional
• Expected Travel: 0 – 10%
• Requisition ID: 455495

Equal Opportunity and Accessibility

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

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 the Recruiting Operations Team: Careers@sap.com.

SAP Employee Referral Program

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.