AI/ML Engineer, Applied Data Science

Benefits

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Not verified last checked Jun 13, 2026

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

AI/ML Engineer, Applied Data Science Cupertino, United States of America 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 taking AI from prototype to production at scale? Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding? Can you build AI systems that are not just impressive demos, but reliable production tools? The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions, then scaling them to production systems that attorneys rely on every day. The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks - starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable. Prototype AI solutions to rapidly validate use cases and demonstrate feasibility Scale successful prototypes into production-grade systems with reliability, monitoring, and maintainability Implement prompt engineering solutions optimized for legal use cases Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge graphs Develop context engineering approaches that leverage the semantic layer for improved accuracy Implement grounding mechanisms to reduce hallucinations and improve factual

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