SAP
Senior Machine Learning Engineer - Experience Generation Team
SAP, Palo Alto, California, United States, 94306
Senior Machine Learning Engineer - Experience Generation Team
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Senior Machine Learning Engineer - Experience Generation Team
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SAP Overview 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. What You’ll Do Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services. Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale. Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP’s GenAI Hub and third-party providers (e.g., Amazon Bedrock). Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs. Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond. Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability. Stay at the forefront of ML/AI trends and bring best practices into the team’s architecture and execution. Ideal Qualifications 6+ years of professional experience in machine learning engineering, software engineering, or applied research roles. Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks. Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation. Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs). Proven track record of delivering production AI systems at scale. Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability. Experience mentoring engineers and shaping engineering culture. Why Join Us At SAP, senior engineers have the chance to define architecture and strategy for some of the world’s most impactful enterprise AI services. You’ll shape how businesses plan, build, and visualize with AI—while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP’s AI innovations scale securely, reliably, and responsibly. ▼ Recurrent company-wide notes and disclaimers follow below for context and compliance ▼ We’re committed to Equal Employment Opportunity : SAP is an equal opportunity employer and provides accessibility accommodations to applicants with disabilities. If you need accommodation or assistance navigating our website or completing your application, please email Recruiting Operations Team: Careers@sap.com. Compensation Range Transparency : SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 141,700 - 294,700 (USD). The actual amount offered will depend on factors such as education, skills, experience, and location. AI Usage in the Recruitment Process : For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that violations may result in disqualification.
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Join to apply for the
Senior Machine Learning Engineer - Experience Generation Team
role at
SAP Overview 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. What You’ll Do Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services. Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale. Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP’s GenAI Hub and third-party providers (e.g., Amazon Bedrock). Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs. Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond. Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability. Stay at the forefront of ML/AI trends and bring best practices into the team’s architecture and execution. Ideal Qualifications 6+ years of professional experience in machine learning engineering, software engineering, or applied research roles. Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks. Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation. Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs). Proven track record of delivering production AI systems at scale. Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability. Experience mentoring engineers and shaping engineering culture. Why Join Us At SAP, senior engineers have the chance to define architecture and strategy for some of the world’s most impactful enterprise AI services. You’ll shape how businesses plan, build, and visualize with AI—while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP’s AI innovations scale securely, reliably, and responsibly. ▼ Recurrent company-wide notes and disclaimers follow below for context and compliance ▼ We’re committed to Equal Employment Opportunity : SAP is an equal opportunity employer and provides accessibility accommodations to applicants with disabilities. If you need accommodation or assistance navigating our website or completing your application, please email Recruiting Operations Team: Careers@sap.com. Compensation Range Transparency : SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 141,700 - 294,700 (USD). The actual amount offered will depend on factors such as education, skills, experience, and location. AI Usage in the Recruitment Process : For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that violations may result in disqualification.
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