Principal Machine Learning Engineer (Palo Alto, CA, US, 94304)

SAP
Palo Alto
Workplace: HybridFull timeUSD 247,000 - 420,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Collaboration","Cross-cultural teamwork","Agile/Scrum practices"]

Build and lead the engineering of GenAI capabilities by fusing large language models with knowledge graphs for SAP applications. Partner with data scientists to turn research needs into high-level requirements, designs, and cloud backend solutions. Guide developers through best practices, architecture discussions, and code reviews while supporting proof-of-concept tooling and technical feasibility for product plans.

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FursaFursa
SAP
SAP
2 hours ago

Principal Machine Learning Engineer (Palo Alto, CA, US, 94304)

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Last checked: 2 hours agoStatus: Live

Job Summary

Build and lead the engineering of GenAI capabilities by fusing large language models with knowledge graphs for SAP applications. Partner with data scientists to turn research needs into high-level requirements, designs, and cloud backend solutions. Guide developers through best practices, architecture discussions, and code reviews while supporting proof-of-concept tooling and technical feasibility for product plans.
Location: Palo Alto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Work closely with SAP data scientists to understand their projects and needs.
  • •Create high-level requirements and designs, and define architectural and coding best practices.
  • •Participate in software design and code reviews with frontend, backend, full-stack, DevOps, and ML engineers.
  • •Guide developers while providing space to learn and grow.
  • •Support product and customer engagements with technical feasibility analysis, solution proposals, and effort estimations.
Travel: Low travel

Pay and Benefits

Salary: USD 247,000 - 420,000 annually

Key Requirements

  • •Bachelor, Master or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • •8+ years designing, developing, deploying, and testing multi-tenant cloud business applications with backend infrastructure.
  • •Experience building data-driven microservices and APIs, including CI/CD pipelines, TDD, and hands-on Docker and Kubernetes.
  • •Proven ability working in an agile environment using Scrum.
  • •Strong communication and collaboration skills in cross-cultural teams.
Experience:8+ yearsCloudMicroservicesAI
Education:
Skills:CommunicationCollaborationCross-cultural teamworkAgile/Scrum practices
Tech Stack:MicroservicesAPIsCI/CDTDDDockerKubernetesAWSGCPJSONGit

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
WebsiteLinkedInGlassdoor