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Apple AIML - Sr Engineering Program Manager FM Evaluation 
United States, California, Cupertino 
289228999

Yesterday
Description
- Partner with cross-functional engineering teams to define human annotation requirements vital to launch and maintain premier Apple software products
Minimum Qualifications
  • Bachelor’s degree in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience.
  • 8+ years of experience managing large-scale, machine learning-powered product programs and delivering client/server software across large organizations (100+ people).
  • Proven program management, analytical, and cross-functional leadership skills with experience driving data-driven decision-making and process improvement.
  • Strong communication skills with expertise in negotiation, presentation, and influencing across teams.
Preferred Qualifications
  • Master’s or PhD degree in Statistics, Business Intelligence, Computer Science, other Quantitative Sciences, or related field and equivalent experience
  • 5+ years of experience managing a program management team in AI powered product space, preferably experience in evaluation of MLAI products.
  • Self-sufficient in analyzing and drawing conclusions about the quality and product opportunity from raw and refined product data
  • Strong problem-solving skills with attention to details
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,500 and $293,800, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • 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.