Machine Learning Engineer - LLM

Apple Apple · Big Tech · Cupertino, CA · Machine Learning and AI

Machine Learning Engineer to build a GenAI system for Apple Audio products, focusing on LLM/LMM development, agents, and RAG applications. Requires experience in ML algorithms, software engineering, and data mining with LLMs/LMMs.

What you'd actually do

  1. building out a GenAI system in support of Beats and Apple Audio products
  2. Proven experience in GenAI application building with agents and agentic workflows.
  3. Experience with LLM and LMM development and fine-tuning.
  4. Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration.

Skills

Required

  • machine learning algorithms
  • software engineering
  • data mining models
  • large language models (LLM)
  • large multimodal models (LMM)
  • Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field

Nice to have

  • GenAI application building with agents and agentic workflows
  • LLM and LMM development and fine-tuning
  • applying ML techniques in manufacturing, testing, or hardware optimization
  • cutting-edge GenAI tools
  • distributed computing
  • cloud infrastructure
  • orchestration tools
  • Kubernetes
  • Apache Airflow (DAG)
  • Docker
  • Conductor
  • Ray for LLM training and inference at scale
  • LangChain
  • LlamaIndex
  • RAG applications
  • LLM orchestration
  • present results of analyses
  • leading and mentoring teams

What the JD emphasized

  • LLM or large multimodal models (LMM)
  • agents and agentic workflows
  • LLM and LMM development and fine-tuning
  • RAG applications and LLM orchestration

Other signals

  • GenAI system
  • LLM/LMM development
  • agents and agentic workflows
  • RAG applications