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Aiml – Staff Machine Learning Engineer – Search and Knowledge Quality – Siri and Information Intelligence

Aiml – Staff Machine Learning Engineer – Search and Knowledge Quality – Siri and Information Intelligence

CompanyApple
LocationSanta Clara, CA, USA
Salary$207800 – $378700
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior, Expert or higher

Requirements

  • Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go.
  • Experience working with large data sets and end-to-end pipelines, ideally using the Apache software stack (e.g. Spark)
  • Working experience with natural language processing and machine learning frameworks such as PyTorch, Tensorflow, or JAX
  • Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering
  • Good interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others
  • Experience in machine learning/AI or a similar area
  • BS in Computer Science or related field

Responsibilities

  • Design and develop cutting-edge features for platforms involving large-scale data management, machine learning, and deep learning systems applied to graph data, web documents, and both semi-structured and unstructured data feeds.
  • Collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction.
  • Innovate and build products that delight users daily while significantly impacting how information is accessed and utilized across Apple’s ecosystem.
  • Refine user search experiences, ensuring they are seamless and deeply satisfying in meeting users’ information-seeking needs.

Preferred Qualifications

  • MS or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field
  • Experience with search and knowledge graph
  • Experience with cloud-native deployment (e.g. Kubernetes) is a good plus
  • Experience with prompt engineering, fine-tuning, evaluating for large language models
  • Experience with retrieval-augmented generation or generative AI technology is a plus
  • Passion for building phenomenal products and curiosity to learn