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Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple· Machine Learning and AI
Apply on company site
Santa Clara, CA, Seattle, WA$184.7k - $324.8kfull-timePosted 6mo ago

About the role

Senior ML Engineer role focused on state-of-the-art deep learning and large language models for Open Domain QA, summarization, and related NLP tasks within Apple’s AI-powered products. Responsibilities include research, model development, fine-tuning, evaluation, and transferring research to production across domains like knowledge graphs, document retrieval, ranking, and personal data summarization.

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: Supervised Fine-tuning (SFT) with Rejection Sampling; Preference-based fine-tuning techniques (RLHF, Reward model, DPO, PPO, GRPO etc.); Parameter efficient fine-tuning techniques (LoRA); Hallucination reduction and factual accuracy improvements; Designing and implementing safety guardrails

Skills

Required:Deep learning / large language modelsPythonTensorFlow / PyTorch / JAXFine-tuning techniques for LLMs (SFT, RLHF, DPO, PPO, GRPO, LoRA etc.)

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • range of discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments and relocation assistance
  • employee stock purchase plan and discretionary stock awards
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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