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
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.
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