Apple - Cupertino, CA

posted 3 months ago

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

About the position

The AIML Information Intelligence team at Apple is at the forefront of creating groundbreaking technology in artificial intelligence, machine learning, and natural language processing. This team is responsible for developing features that redefine how hundreds of millions of users interact with their devices, including Siri, Spotlight, Safari, Messages, and Lookup. The universal search engine developed by this team powers search functionalities across various Apple products, enhancing user experience by providing relevant results based on sophisticated algorithms and large-scale data processing. In this role, you will engage in large-scale machine learning and deep learning projects aimed at improving query understanding and ranking. This involves the development of advanced machine learning models that utilize word embeddings and deep learning techniques to assess the quality of search matches. You will also implement online learning strategies to adapt quickly to changes in user behavior and leverage natural language processing to interpret user queries effectively. By harnessing petabytes of data and signals from millions of users, you will combine information from multiple sources to deliver results that best meet user intent and information-seeking needs. As part of your responsibilities, you will collaborate with researchers and data scientists to develop, fine-tune, and evaluate domain-specific Large Language Models (LLMs) for various applications within Apple's AI-powered products. You will also conduct applied research to transition cutting-edge generative AI research into production-ready technologies, ensuring that Apple remains a leader in the AI space.

Responsibilities

  • Working on query understanding components such as intent classification, entity recognition, and entity linking, while analyzing query understanding 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 cutting-edge research in generative AI to production-ready technologies.
  • Understanding product requirements and translating them into modeling and engineering tasks.
  • Building machine-learned models for entity linking, intent classification, entity recognition, search relevance, ranking, and query understanding problems.
  • Integrating search functions into Apple products, including Siri, Spotlight, Safari, Messages, and Lookup.
  • Building end-to-end production systems that include query understanding and ranking to power search.
  • Utilizing Spark, Hadoop MapReduce, Hive, and Impala for distributed data processing.

Requirements

  • Experience in machine learning, deep learning, information retrieval, knowledge graphs, 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 programming languages: Python, Go, Java, or C++.
  • Excellent knowledge and practical skills in major machine learning algorithms.
  • Strong data analytical skills.
  • Good interpersonal skills and ability to work as a team player.

Nice-to-haves

  • MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science, or a related field.

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
  • Participation in Apple's discretionary employee stock programs, including restricted stock unit awards and Employee Stock Purchase Plan.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service