Senior Machine Learning Engineer, Search & Knowledge Platforms

As a member of our dynamic team, you will have the unique and rewarding opportunity to contribute to the development of upcoming products from Apple. Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products, including Siri, Safari, Spotlight, and more. Therefore, we are seeking candidates with a deep understanding of large-scale search technology, machine learning fundamentals, applied machine learning experience, and strong software engineering skills. As Senior Machine Learning Engineer for the Search and Knowledge Quality team, you will be responsible for developing the ranking and retrieval technologies that power question answering and search across Apple products. In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies. This is your opportunity to shape how people obtain information by leveraging your Search and applied machine learning expertise, along with robust software engineering skills. Analyze search retrieval, ranking and relevance requirements, issues and opportunities Design, train, and deploy machine learning models to improve search relevance and ranking. Define evaluation metrics and benchmarks for search quality. Collaborate with multi-functional teams including: product, design, and data engineering. Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases. 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, and experience with ML frameworks Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval Excellent communication and collaboration skills 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

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