Applied LLM Engineer, AML Enterprise Systems

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI


Role Number:200534569
Imagine what you could do here. At Apple, phenomenal 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. The Applied Machine Learning(AML) Solutions Team build solutions that impact across ALL of Apple. Typically these problems are related to Machine Learning Platform & Solutions and Big Data.

Key Qualifications

  • 5+ years of industry experience designing, building and supporting machine learning platforms, services and frameworks.
  • Ability to apply your LLM knowledge with a product-oriented focus.
  • Strong proficiency in embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
  • Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
  • Strong communication skills, and ability to distill technically complex concepts and data for an intelligent but non-ML audience.
  • Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
  • Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies.
  • Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues.
  • Experience with LLM and other related frameworks like Langchain, LLamaIndex
  • Experience with relevant programming languages, such as Python, Java, or Go.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.


This role will be responsible for defining and developing ML Platform and frameworks for generative AI powered applications. You will collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers, data scientists, application developers and product managers. Our ML Platform allows cross-functional teams to build diverse, business critical ML apps leveraging LLMs. This role will also work closely with product and program teams to ensure platform features are developed in lockstep with products roadmap and business user feedbacks. This is a fast-paced role with high visibility, impact, and influence in delivering one of the industry's most advanced generative AI systems.

Education & Experience

Bachelor’s degree or equivalent in Computer Science or equivalent field

Additional Requirements

Pay & Benefits