(Senior) Research Engineer (f/m/d): SAP Data for Foundation Models on Structured Data

SAP
Germany
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Experience: 5+ yearsEducation: phdSkills: ["Communication","Collaboration","Cross-cultural teamwork","Problem-solving"]

Work on SAP’s Business AI Research team to advance foundation models for structured business data (graphs, tables, and time series). You’ll run experiments on internal and public datasets, develop benchmark suites and evaluation frameworks, and design training/benchmark datasets using rich business semantics. Collaborate with domain specialists to translate business data into model-ready formats and publish models and frameworks for the open-source community.

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FursaFursa
SAP
SAP
2 hours ago

(Senior) Research Engineer (f/m/d): SAP Data for Foundation Models on Structured Data

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Last checked: 2 hours agoStatus: Live

Job Summary

Work on SAP’s Business AI Research team to advance foundation models for structured business data (graphs, tables, and time series). You’ll run experiments on internal and public datasets, develop benchmark suites and evaluation frameworks, and design training/benchmark datasets using rich business semantics. Collaborate with domain specialists to translate business data into model-ready formats and publish models and frameworks for the open-source community.
Location: Germany
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Contribute to technical advances in foundation models on structured data and explore world models for business problem solving.
  • •Execute scientific experiments on internal and public data.
  • •Enable large-scale access to business data and model training in a research-driven environment.
  • •Develop evaluation frameworks and benchmark suites and drive exploration of novel tasks.
  • •Collaborate with domain specialists and data owners to define how business data can be used for foundation model training, including creating training/benchmark datasets and publishing models/frameworks to open source.
Travel: Low travel

Key Requirements

  • •PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics, or a related discipline.
  • •5+ years of professional experience applying machine learning to structured data in a business context.
  • •Good knowledge of SAP data and SAP applications, including data models and business objects down to table level.
  • •Some experience training foundation models at scale is a plus.
  • •Hands-on data engineering experience to solve data challenges; fluent Python to convert ideas into productive code.
Experience:5+ yearsMachine learningStructured dataBusiness AIFoundation modelsData engineeringOpen source
Education:PhD / Doctorate in computer science, artificial intelligence, physics, mathematics (or other relevant disciplines)
Skills:CommunicationCollaborationCross-cultural teamworkProblem-solving
Tech Stack:PythonMachine learningFoundation modelsStructured dataGraphsTablesTime seriesOpen source

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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