SAP is actively hiring for 3 AI and machine learning positions, concentrated in AI/ML Engineer (2) and Data Scientist (1) roles. Posted salary ranges span $294K - $374K, with 100% of listings disclosing compensation. The median posted ceiling sits at $294K. Positions are based in Newport Beach, CA, US, Palo Alto, CA, US. The most frequently requested skills across these postings are Python, Fine-tuning, RAG, AWS, Azure.
Skills & Technologies
Python (2)Fine-tuning (1)RAG (1)AWS (1)Azure (1)Docker (1)GCP (1)Kubernetes (1)PyTorch (1)TensorFlow (1)
Locations
Newport Beach, CA, US, Palo Alto, CA, US
Hiring by Role Category
Open Positions (3)
AI/ML Engineer
Head of Data Science - Generative AI
AI/ML Engineer
Senior AI Developer
Data Scientist
Quantitative UX Researcher - SAP Business AI
Frequently Asked Questions
SAP currently has 3 open AI positions across roles including AI/ML Engineer, Data Scientist. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.
AI roles at SAP range from $294K - $374K based on current job postings. Compensation varies by role type, seniority, and location. Senior and staff-level positions typically fall at the upper end of this range, while mid-level roles cluster near the median. These figures reflect posted salary ranges and may not include equity, bonuses, or signing packages.
The most frequently requested skills in SAP's AI job postings are Python, Fine-tuning, RAG, AWS, Azure, Docker. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.
SAP's AI positions are based in Newport Beach, CA, US, Palo Alto, CA, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.
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