职位描述：
Summary：
The Answers & Knowledge & Information team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of Siri Search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. Taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
Description：
Design and build infrastructures to support features that empowers billions of Siri, Spotlight, and Safari users. Perform language processing, statistical analysis, and user intent analysis to support your hypothesis for how to improve product-outcomes. Leverage proprietary parallel data processing platform to process web scale data to deliver product features and improvements. Design & run/deploy various metrics and evaluations of features/improvements using a variety of tools like grading, logs processing, pre-launch and holdback A/Bs. Present results of analysis to team and leadership across Apple.
职位要求：
Minimum Qualifications：
Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent proven experience.
5+ years of experience in machine learning, retrieval and ranking for search, recommendation, or ads systems.
Mastery of two of following languages: Python, Go, Java, C++
Excellent knowledge and good practical skills in major machine learning algorithms
Preferred Qualifications：
Hands-on experience in RAG, including developing, evaluating and enhancing for both retrievers and generative LLMs.
Excellent data analytical skills
Good interpersonal skills and great team player
Strong written and verbal communication skills
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
招聘部门：
Apple Machine Learning and AI
工作地点：
Shanghai, Shanghai, China
面试建议：
Apple的AIML – Machine Learning Engineer职位专注于利用大规模机器学习和深度学习技术来改进Siri搜索的查询理解和排名。这个职位不仅要求你有扎实的机器学习基础，还需要你在搜索和排名系统方面有实际经验。特别是RAG（Retrieval-Augmented Generation）的实践经验是一个明显的加分项。 在准备面试时，你需要重点准备与大规模数据处理、机器学习模型优化、以及自然语言处理相关的问题。面试官很可能会深入探讨你在搜索和排名系统方面的经验，以及你如何利用数据来优化产品。此外，展示你在团队合作和沟通方面的能力也非常重要，因为Apple非常注重团队协作。建议你提前准备一些具体的项目案例，展示你如何在实际工作中应用这些技术解决问题。
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