Staff/Senior Machine Learning Engineer, Search & Knowledge Platforms
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What you'll do
- Identify and address opportunities to improve the quality and performance of the search and ranking stack
- Develop sophisticated machine learning systems and robust software heuristics
- Develop and integrate large language models (LLMs) to understand user queries
- Build systems to retrieve and rank relevant documents
- Provide users with direct answers that satisfy their intent
- Work across the entire stack, from data science and opportunity analysis to ML system design, pipeline development, and quality evaluation
What they're looking for
- Experience in developing sophisticated machine learning systems
- Proficiency in ML system design and pipeline development
- Experience with search and ranking algorithms
- Experience with large language models (LLMs)
- Strong background in data science and opportunity analysis
- Ability to develop robust software heuristics
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. As part of this group, you will focus on identifying and addressing opportunities to improve the quality and performance of the search and ranking stack that powers world knowledge question answering. This involves developing sophisticated machine learning systems, robust software heuristics, and large language models (LLMs) to understand user queries, retrieve and rank relevant documents, and provide users with direct answers that best satisfy their intent. You will work across the entire stack, applying a broad skill set that ranges from data science and opportunity analysis to ML system design, pipeline development, and quality evaluation.
Company
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