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User Research Scientist, Human-Centered AI

Apple

$171,600 - $258,100
Aug 20, 2025
Seattle, WA, US
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To develop new evaluation methodologies and carry out user research that powers the development and validation of generative AI systems at Apple Services Engineering (ASE)

Requirements

  • PhD in a behavioral or social science field, human-computer interaction, statistics, engineering, computer science, or a related field
  • 3+ years of experience in industry or a comparable applied research setting
  • Strong background in conducting rigorous behavioral research
  • Experience in one or more programming languages used for data processing and statistics (e.g., Python, R, SQL, etc.)
  • 7+ years of experience in industry or a comparable applied research setting
  • Prior research experience in human-centered evaluation or development of artificial intelligence or machine learning systems
  • Data science experience, especially with large, distributed data frameworks (e.g., Spark, Hadoop, etc.)

Responsibilities

  • Design and execute rigorous empirical studies using diverse methods (e.g., surveys, longitudinal designs, ecological momentary assessments, analysis of large-scale behavioral data) to investigate user experience with AI
  • Innovate, develop, and validate novel methodologies for human-centered evaluation of generative AI models and systems
  • Apply rigorous measurement principles and powerful statistical methods to ensure the validity and reliability of your findings
  • Lead sophisticated research projects from inception to completion, coordinating cross-functional collaboration effectively
  • Translate complex data findings into actionable insights and compelling recommendations for collaborators at all levels

Other

  • Ability to communicate complex research findings clearly and persuasively to diverse audiences (technical and non-technical)
  • Strong collaboration and communication skills
  • Organized, highly attentive to detail, and manages time well
  • Collaborate with researchers specializing in benchmarking, automated evaluation, synthetic data, data science, and responsible AI
  • Mentor junior researchers and support the growth of the research organization