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Apple AIML - Staff Machine Learning Engineer Answers 
United States, California 
236822077

Yesterday
- Own the entire ML development cycle from opportunity analysis, exploration, and prototyping to data collection, feature engineering, training, evaluation, and deployment in production.- Lead the development of machine learning models to improve search quality across retrieval, ranking, reranking, and query understanding.- Improve search quality and experience by leveraging techniques such as learning-to-rank, embedding models, contrastive learning, multi-task learning, and reinforcement learning where appropriate.- Mentor junior engineers and provide technical leadership in architecting ML systems and designing ML models.- Understand product requirements, then translate them into modeling tasks and engineering tasks.
  • You have 8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.
  • You have a deep understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics.
  • You have proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.
  • You are comfortable leading experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality.
  • You have excellent interpersonal skills, the ability to work independently as well as as part of a team.
  • You have a Master’s Degree in Computer Science or equivalent experience in machine learning or a related field.
  • Advanced diploma in AI, Machine Learning, Computer Science, or Mathematics
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.