Opportunity Description
**Weekly Hours:** 40
**Role Number:** 200660980-0836
**Summary**
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Are you passionate about building the data pipelines that make AI systems fast, accurate, and reliable?
Do you thrive on engineering clean data flows that connect enterprise systems to intelligent applications?
Can you build infrastructure that's both production-grade and purpose-built for AI consumption?
The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization — and every AI system is only as good as the data flowing into it. The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time.
**D...
**Role Number:** 200660980-0836
**Summary**
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Are you passionate about building the data pipelines that make AI systems fast, accurate, and reliable?
Do you thrive on engineering clean data flows that connect enterprise systems to intelligent applications?
Can you build infrastructure that's both production-grade and purpose-built for AI consumption?
The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization — and every AI system is only as good as the data flowing into it. The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time.
**D...