SAP

Machine Learning Engineer

SAP$101K — $224K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in ML engineering or data science delivering production solutions.
  • Strong foundation in ML and NLP.
  • Proficiency in Python and ML frameworks like PyTorch.
  • Practical experience with LLMs, including fine-tuning and prompt engineering.
  • Solid understanding of evaluation methodologies.
  • Experience translating research into reliable production systems.
  • Ability to collaborate effectively across engineering, product, and business teams.

Responsibilities

  • Design, train, and evaluate AI models for customer support solutions.
  • Build and optimize RAG pipelines and agentic workflows for enterprise use.
  • Develop frameworks to measure model accuracy and task completion.
  • Translate business problems into actionable ML solutions.
  • Collaborate with team members to productionize applications.
  • Use prompt engineering and model orchestration to enhance agent performance.
  • Document model features and limitations for diverse stakeholders.

Benefits

  • Remote work options available with hybrid flexibility.
  • Exposure to cutting-edge AI technologies and enterprise-scale solutions.
  • Collaborative team culture focusing on innovation and support.
  • Access to ongoing professional development and training opportunities.
  • Commitment to responsible AI practices and continuous learning.
Full Job Description


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 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.

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.
  • Fluent in English.


Meet 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.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. 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 annual combined range for this position is [redacted]00USD. 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 this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

Requisition ID: 455495 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Requisition ID: 455495

Posted Date: Jun 27, 2026

Work Area: Software-Design and Development

Career Status: Professional

Employment Type: Regular Full Time

Expected Travel: 0 - 10%

Location:

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