AI Research Scientist

3 weeks ago


Seattle, Washington, United States Apple Full time
About the Role

We are seeking a highly skilled data scientist to join our team at Apple, working on ambitious projects that will impact the future of Apple, our products, and the broader world.

Key Responsibilities
  • Research and develop Responsible AI evaluation methods to improve the quality of Apple Intelligence's user-facing products
  • Create evaluation data sets to solve difficult, non-routine analysis problems; applying sophisticated analytical methods as needed
  • Conduct analyses that include data gathering and requirements specification, processing, analysis, ongoing work, and presentations
  • Build and prototype analysis pipelines iteratively to provide insights at large-scale
  • Develop extensive knowledge of data structures and metrics, advocating for changes where needed for product development
  • Partner closely with engineering teams on core machine learning algorithms and systems that are part of how features work
Requirements
  • Strong programming skills: Including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala)
  • Proficiency in data science, machine learning, and analytics: Including statistical data analysis and A/B testing
  • Experience crafting, conducting, analyzing, and interpreting experiments and investigations
  • Experience articulating and answering business questions by applying statistical techniques to available data sources
  • Experience collecting and analyzing crowd-sourced data, language data, image data, and/or multi-modal data
  • Strong interpersonal skills: Proven ability to explain difficult technical topics (esp. causal topics) to everyone from data scientists to engineers to business partners
Preferred Qualifications
  • Experience working in the Responsible AI space
  • Experience dealing with highly multi-labeled, nuanced, and often conflicting data sources
  • Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements
  • History driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to cut through ambiguity and know when to dive deep
About Apple

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.



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