Senior Machine Learning Engineer, Search & Knowledge Platforms

Apple Apple · Big Tech · Santa Clara, CA +1 · Software and Services

Senior Machine Learning Engineer at Apple focused on Search & Knowledge Platforms, developing next-generation Search and Question Answering systems for Apple products like Siri and Spotlight. The role involves designing, training, and deploying ML models for search relevance and ranking, leveraging large language models and large-scale data management.

What you'd actually do

  1. Design, train, and deploy machine learning models to improve search relevance and ranking.
  2. Analyze search retrieval, ranking and relevance requirements, issues and opportunities
  3. Define evaluation metrics and benchmarks for search quality.
  4. Collaborate with multi-functional teams including: product, design, and data engineering.
  5. Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases.

Skills

Required

  • Bachelor’s in Computer Science, Machine Learning, or a related field
  • 7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
  • Strong programming skills in C/C++ or Python
  • Experience with ML frameworks
  • Proficient understanding of search algorithms
  • Familiarity with evaluation metrics for search and information retrieval
  • Excellent communication and collaboration skills

Nice to have

  • Advance degree in Computer Science, Machine Learning, or a related field
  • 5 years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
  • Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc.
  • Experience working with transformer-based models (e.g., BERT, T5) in a search context
  • Prior industry experience on large scale search systems
  • Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems

What the JD emphasized

  • 7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
  • Strong programming skills in C/C++ or Python, and experience with ML frameworks
  • Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
  • Experience working with transformer-based models (e.g., BERT, T5) in a search context
  • Prior industry experience on large scale search systems

Other signals

  • large-scale search technology
  • machine learning fundamentals
  • applied machine learning experience
  • large language models
  • ranking and retrieval technologies