Senior AI Scientist
SAP - Country USA | Internal Posting Location Bellevue
Posted Jun 12, 2026
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
- $197K-$246K From the posting source checked Jun 20, 2026
- 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)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
98% above the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
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
Senior AI Scientist Country USA | Internal Posting Location Bellevue Requisition ID: 452348 Work Area Software-Development Operations Expected Travel 0% Career Status Professional Employment Type Regular Full Time Original Posting Date: 04/20/2026 Job Title: Senior AI Scientist Location: Bellevue, WA Work Model: Hybrid Work Model Purpose and Objective: SAP Labs, LLC seeks a Senior AI Scientist at our Bellevue, WA location responsible for development of new Machine Learning models and optimization of existing ML models. Expectations and Tasks: Understand and responsible for the implementation of the most recent machine learning algorithm and approaches. Ensure performance and system scalability through initiating an fostering continuous collaboration with development teams. Work through business problems from beginning to end. Understand research insights and adequate concepts for SAP's customers. Lead small project teams. Collect requirements and coordinates the machine learning development. Communicate the relevance of implemented systems and achieved results in a visual and consistent way across levels. Show initiative and explore new use cases and applications of machine learning. Education and Occupational Experience: Bachelor 's degree or foreign equivalent in Computer Science, Software Engineering, Mathematics, or a related field of study and six (6) years of progressive post-baccalaureate experience in the job offered or related occupation. Alternatively, a Master 's degree or foreign equivalent in Computer Science, Software Engineering
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