In this highly visible role, your primary responsibilities will include:

- Developing LLM components for use in generative AI applications.

- Collaborate with our internal multi-functional design teams as well as the AIML organization at Apple to understand domain-specific needs and tailor AI solutions to these domains.

- Serving as the point of contact for customers, resolving technical issues, and providing insights on LLM infrastructure improvements.

- Enabling the organization to leverage data and drive efficiency in chip delivery.

Python programming experience

Hands-on-experience in NLP and Data Science principles (ie. Indexing knowledge, pre-processing data, or fine-tuning models)

Knowledge of current Gen AI research in one of the following areas: RAG, Semantic Search, Agents, or Prompt Engineering

Minimum requirement of BS and 10+ years of relevant industry experience

Preferred Qualifications

Experience in designing and implementing information retrieval systems using embeddings (e.g., MiniLM), vector stores (e.g., Milvus, Qdrant), or similarity match & ranking techniques

Strong background in ML related software engineering such as infrastructure, frameworks or tools

Proficiency in articulating technical and architectural challenges in a precise manner. Experience collaborating with partners to develop and iterate on solutions

Designed and optimized RESTful services

Comfort within Linux/Unix environments

Understanding of software engineering practices (agile, code review, automated builds, regressions testing)