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Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple· AI, Search & Knowledge Platforms
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Hybrid (Seattle, WA / Santa Clara, CA)$175k - $308.5kfull-timePosted 6mo ago

About the role

Senior ML Engineer focusing on large-scale ML, LLMs, and open-domain QA/summarization to power Apple’s AI products (Siri, Safari, iMessage, Apple Intelligence). Research, fine-tuning, and productionizing domain-specific LLMs for NLP tasks (summarization, QA, search relevance, entity linking, query understanding) and transferring cutting-edge generative AI research to production-ready technologies.

Responsibilities

  • Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple’s AI-powered products
  • Developing, fine-tuning, and evaluating domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance/ranking, entity linking and query understanding problems
  • Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies
  • Understanding product requirements, translate them into modeling tasks and engineering tasks
  • Stay up to date with the latest advancements and research in deep learning and large language models

Qualifications

  • 2+ years of experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation
  • Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX
  • Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • 4+ years of experience with large-scale model training, optimization, and deployment
  • One or more scientific publications in various conferences and journals
  • Outstanding communication and interpersonal skills with ability to work with cross-functional teams
  • 1+ year of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: SFT with Rejection Sampling, RLHF/Reward models/DPO/PPO/GRPO, LoRA, hallucination reduction and factual accuracy improvements, safety guardrails

Skills

Required:Deep learning / LLM developmentPythonTensorFlow, PyTorch, or JAXDomain-specific NLP tasksCommunication & cross-functional collaboration
Nice to have:SFT/RLHF/LoRA/other fine-tuning techniquesSafety guardrails design

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • tuition reimbursement for education related to advancing your career at Apple
  • discretionary bonuses or commission payments as well as relocation (possible)
  • Apple shareholder opportunities through discretionary employee stock programs and Employee Stock Purchase Plan
Last updated Jul 3, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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