职位描述：
Summary：
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work.
People here at Apple don’t just build products; we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspire the innovation that runs through everything we do, from extraordinary technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple’s Channel Sales team in Greater China is responsible for the development and implementation of all indirect sales efforts for Apple’s full product offerings in China, HK, and Taiwan. To continue growing our GC business, we’re looking experienced engineers / data scientists with a passion for using machine learning to transform people’s life by innovating on intelligent user experiences to join our Analytics & Optimizations on the Sales Analytics Team in China.
In this position, you won’t just implement solutions—you’ll shape strategies, drive innovation, and elevate industry standards. Your work will empower businesses, optimize performance, and unlock new possibilities for growth.
If you’re ready to challenge yourself, expand your expertise, and contribute to a high-impact team, we’d love to hear from you!
Description：
Collaborate & Innovate – Work closely with cross-functional teams to identify opportunities, gather requirements, and transform challenges into scalable technical solutions.
Design Advanced Models – Develop state-of-the-art data science and machine learning approaches, leveraging proven methodologies or creating custom algorithms tailored to business needs.
Build Robust Systems – Partner with data engineers and platform architects to implement high-performance, real-time and batch decisioning solutions.
Communicate Insights – Present findings to business stakeholders and executives, ensuring data-driven strategies translate into meaningful business outcomes.
Explore & Evolve – Stay at the forefront of technological advancements by researching new techniques across data science, engineering, and visualization to continuously refine the team’s capabilities.
职位要求：
Minimum Qualifications：
Communication & Presentation: Superior verbal and written communication and presentation skills, ability to convey meticulous mathematical concepts and considerations to non-experts.
Machine Learning: Understanding of common machine/deep learning algorithms and practical experience in one or more of the following areas: time series forecasting, anomaly detection, convex optimization, computer vision, NLP, LLM, recommendation system and Auto ML
Databases: Solid understanding of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
Programming language: Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
Preferred Qualifications：
Insight: Ability to extract meaningful business insights from data and identify the stories behind the patterns
Creativity: to engineer novel features and signals, and to push beyond current tools and approaches
Bilingual: Excellent verbal and written communication skills, in both Mandarin Chinese and English
Education & Experience：
PhD. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or
PhD. in Math, Engineering, Economics, or hard science with data science fellowship; or
M.S. in related field with experience applying machine learning engineer to real business problems
招聘部门：
Apple Machine Learning and AI
工作地点：
Beijing, Beijing, China
面试建议：
Apple的机器学习工程师职位不仅要求扎实的技术背景，还需要能够将复杂的机器学习概念转化为实际的业务解决方案。面试官会特别关注你在时间序列预测、异常检测、计算机视觉、NLP和推荐系统等领域的实际经验。此外，他们还会考察你如何与跨职能团队合作，以及你如何将数据驱动的见解传达给非技术背景的决策者。 为了准备这场面试，建议你重点准备以下几个方面的内容：首先，确保你对常见的机器学习算法有深入的理解，并能够解释它们在实际业务中的应用。其次，准备一些你在过去项目中如何解决复杂问题的案例，特别是那些涉及跨团队合作的项目。最后，练习如何用简洁明了的方式向非技术背景的听众解释技术概念。Apple非常注重创新和团队合作，因此在面试中展示你的创造力和沟通能力将是一个巨大的加分项。
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