Limited employment up to 6 months (f/m/d) - Neuro-Symbolic AI: The Next Frontier (6 Months)

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Limited employment up to 6 months (f/m/d) - Neuro-Symbolic AI: The Next Frontier (6 Months) Region Europe | Country Germany | Internal Posting Location St. Leon-Rot 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 build As a Research Fellow in the Global Content Group (GCG) Engineering team, you will: Research and prototype neuro-symbolic AI approaches that combine the reasoning power of structured knowledge graphs with the generalization capabilities of large language and foundation models Develop methods to inject ontology-level knowledge - concepts, relationships, and constraints - directly into foundation models, enabling them to generate accurate, schema-aware SPARQL queries from natural language Design and evaluate knowledge-grounded question answering (Q&A) systems that go beyond retrieval-augmented generation, leveraging formal ontologies to improve precision, explainability, and faithfulness of model outputs Benchmark your approaches against existing text-to-SPARQL and semantic Q&A baselines on enterprise knowledge graphs Collaborate with a global team of software engineers, data scientists, and researchers on cutting-edge challenges at the intersection of symbolic AI and

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