Apple - Cupertino, CA

posted 9 days ago

Full-time - Mid Level
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

The AIML Information Intelligence team at Apple is focused on creating innovative technology in artificial intelligence, machine learning, and natural language processing. This role involves developing large-scale machine learning models to enhance query understanding and ranking for Apple's universal search engine, which powers features across various Apple products. The position requires collaboration with researchers and data scientists to create and evaluate domain-specific Large Language Models and to transition groundbreaking research into production-ready technologies.

Responsibilities

  • Analyzing search ranking and relevance requirements, issues, and opportunities
  • Developing, fine-tuning, and evaluating domain-specific Large Language Models for various tasks and applications in Apple's AI-powered products
  • Conducting applied research to transfer pioneering research in generative AI to production-ready technologies
  • Understanding product requirements and translating them into modeling and engineering tasks
  • Building machine-learned models for search relevance, ranking, and query understanding problems
  • Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, and Lookup
  • Building end-to-end production systems including query understanding and ranking to power search
  • Applying Spark, Hadoop MapReduce, Hive, and Impala to perform distributed data processing

Requirements

  • Experience in machine learning, deep learning, information retrieval, natural language processing, or data mining
  • Experience in prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs
  • Proficiency in one of the following languages: Python, Go, Java, C++

Nice-to-haves

  • Excellent data analytical skills
  • Good interpersonal skills and team player

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses including tuition
  • Discretionary bonuses or commission payments
  • Relocation assistance
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