Machine Learning Engineer- LLM

Product Operations at Apple is seeking a Machine Learning Engineer specializing in Large Language Models (LLM) to join their team. This role sits at the intersection of engineering and operations, leading the development of cutting-edge machine learning solutions. You'll be responsible for end-to-end project delivery, from initial problem conceptualization through to final deployment.

The position offers an opportunity to work with state-of-the-art LLM and LMM technologies, applying them to solve complex operational challenges. You'll collaborate closely with data engineers to develop business intelligence solutions and present findings to executive stakeholders. The ideal candidate brings strong expertise in transformer-based architectures, modern LLM frameworks, and distributed computing.

This role combines technical depth with business impact, requiring both advanced ML engineering skills and the ability to communicate complex concepts to diverse audiences. You'll be part of Apple's Operations and Supply Chain organization, working on projects that directly influence product operations efficiency and innovation.

The position offers competitive compensation, comprehensive benefits, and the opportunity to work on meaningful projects at one of the world's leading technology companies. You'll be based in Cupertino, joining a team that values technical excellence, innovation, and the ability to deliver practical solutions to complex challenges.

Key technologies you'll work with include PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and LlamaIndex. You'll also gain exposure to cloud infrastructure and orchestration tools like Kubernetes and Apache Airflow. This role presents an excellent opportunity for someone passionate about applying cutting-edge LLM technology to real-world operational challenges at scale.