About The Position

Join Apple's Software Engineering team, where we push the boundaries of innovation to enhance every Apple product—while safeguarding user privacy and data. We are seeking an experienced machine learning engineer with deep expertise in Large Language Models. As part of the Siri Planner team, you will have the unique opportunity to transform the Siri experience for hundreds of millions of users worldwide.

Requirements

  • Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or a BSc with 3+ years of relevant industry experience.
  • Strong proficiency in Python and ML frameworks such as PyTorch and Hugging Face.
  • Proven ability to design and implement scalable ML pipelines, including preprocessing, training, and deployment in production.
  • Excellent problem-solving, analytical, and collaborative skills.

Nice To Haves

  • Solid understanding of NLP evaluation metrics, with experience benchmarking and optimizing model performance.
  • Hands-on experience building and deploying large-scale machine learning models, particularly in generative AI, LLMs, Retrieval-Augmented Generation (RAG), or agentic systems.
  • Expertise in data generation and augmentation, including synthetic data creation, active learning strategies, and constructing robust datasets for model training.
  • Published research or notable contributions in LLMs, NLP, or AI is highly desirable.

Responsibilities

  • Designing and developing the foundational agentic system that enables Siri to translate natural language queries into tool calls and engage in multi-turn conversations with users.
  • Collaborating with researchers, software engineers, and product designers to integrate AI innovations into Siri's user experience.
  • Staying at the forefront of research in LLMs, NLP, and AI, and converting cutting-edge advancements into practical, user-facing improvements.

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses — including tuition
  • Opportunity to participate in Apple's discretionary employee stock programs
  • Eligibility for discretionary bonuses or commission payments
  • Relocation assistance
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