Machine Learning Engineer (Bellevue, WA, US, 98004)

SAP
Bellevue
Workplace: HybridFull timeUSD 101,900 - 224,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Collaboration","Continuous learning","Responsible AI awareness","Problem solving","Communication"]

Build and evaluate AI models that power SAP customer support solutions, designing training and assessment workflows for accuracy, relevance, and task completion. Develop and optimize RAG pipelines, embeddings, and agentic workflows, translating business problems into measurable ML outcomes. Collaborate with engineers, product, and business stakeholders to productionize applications, improve agents with prompt engineering and tool-calling patterns, and support responsible AI documentation.

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FursaFursa
SAP
SAP
2 hours ago

Machine Learning Engineer (Bellevue, WA, US, 98004)

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Last checked: 2 hours agoStatus: Live

Job Summary

Build and evaluate AI models that power SAP customer support solutions, designing training and assessment workflows for accuracy, relevance, and task completion. Develop and optimize RAG pipelines, embeddings, and agentic workflows, translating business problems into measurable ML outcomes. Collaborate with engineers, product, and business stakeholders to productionize applications, improve agents with prompt engineering and tool-calling patterns, and support responsible AI documentation.
Location: Bellevue
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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 and help productionize applications.
  • •Apply prompt engineering, model orchestration, and tool-calling patterns to improve agents while supporting responsible AI documentation.
Travel: Low travel

Pay and Benefits

Salary: USD 101,900 - 224,000 annually

Key Requirements

  • •3+ years of experience delivering production solutions in ML engineering or data science.
  • •Strong foundation in ML and NLP, with practical experience using LLMs (fine-tuning, prompt engineering).
  • •Experience implementing RAG and agentic architectures for enterprise use.
  • •Proficiency in Python with ML frameworks such as PyTorch and modern AI tooling like LangChain and Hugging Face.
  • •Knowledge of privacy, security, and compliance requirements for enterprise software, with fluent English communication.
Experience:3+ yearsEnterprise AICustomer supportEnterprise software
Skills:CollaborationContinuous learningResponsible AI awarenessProblem solvingCommunication
Languages:English
Tech Stack:PythonPyTorchLangChainHugging FaceLLMsRAGEmbeddingsPrompt engineeringModel orchestrationTool-callingAgentic workflowsNLP

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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