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Apple Senior Machine Learning Applied Researcher 
United States, Washington, Seattle 
439992588

08.02.2025
Description
In this role, you will:- Lead research and development initiatives, including LLM fine-tuning and the exploration of emerging AI technologies.- Develop and evaluate prototypes, proof-of-concepts, and production-ready solutions.
Minimum Qualifications
  • Ph.D. in Machine Learning, Computer Science, Mathematics, Statistics, or a related field, or equivalent work experience.
  • Advanced expertise in machine learning, deep learning, and data mining techniques.
  • Proficiency in Python and/or Scala for building, training, and deploying machine learning models for complex, high-dimensional systems.
  • Experience with large-scale distributed data processing frameworks such as Spark or Hadoop.
  • Strong programming skills and experience with production-level algorithm development.
  • Exceptional communication skills, with the ability to present technical concepts and results to diverse audiences.
  • Highly self-motivated and results-driven, with a proven ability to thrive in fast-paced, dynamic environments.
Preferred Qualifications
  • Familiarity with reinforcement learning and advanced optimization techniques.
  • Experience with personalization systems, recommendation engines, or ranking algorithms.
  • Strong understanding of state-of-the-art LLMs and deployment for real-world applications.
  • Knowledge of marketing analytics, user segmentation, and customer lifetime value modeling.
  • Prior experience in payment science, subscriptions, or App Store analytics.
  • A strong history of paper publications in well-known journals or top-tier conferences in machine learning and AI.
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 $135,400 and $250,600, 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.