Apple - Cupertino, CA

posted about 1 month ago

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

About the position

The AIML Data organization at Apple is focused on enhancing products through data-driven insights, particularly within the Search Analytics team. This role involves improving the quality of Siri's user-facing products by developing evaluation methods, collaborating with engineering teams, and analyzing user experience data to inform product evolution across various Apple devices.

Responsibilities

  • Research and develop evaluation methods to enhance Siri's user-facing products.
  • Collaborate with evaluation and experimentation engineering teams to implement methodologies in Siri engineering.
  • Analyze large and complex data sets to solve non-routine analysis problems using advanced analytical methods.
  • Conduct comprehensive analysis including data gathering, processing, and presentation of insights.
  • Build and prototype analysis pipelines iteratively to provide scalable insights.
  • Develop a deep understanding of Siri Search data structures and metrics, advocating for necessary changes for product development.
  • Partner closely with Siri search engineering teams on core machine learning algorithms and systems.

Requirements

  • Proficiency in data science, machine learning, and analytics, including statistical data analysis and A/B testing.
  • Experience in crafting, conducting, analyzing, and interpreting experiments and investigations.
  • Ability to articulate and translate business questions into statistical techniques for data analysis.
  • Capable of managing projects of varying sizes and scopes effectively.
  • Strong communication skills to explain complex technical topics to diverse audiences.
  • Strong programming skills, including data-querying skills (SQL and/or Spark) and experience with a scripting language (e.g., Python, R, or Scala).
  • 5 years of relevant work experience.

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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