职位描述：
Summary：
Do you get excited by driving impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision of AIML Data and ML Innovation organization is to improve products by using data as the voice of our customers. We are seeking a passionate and experienced Data Infrastructure Engineer to play a pivotal role in revolutionizing how we process and use substantial datasets as the heart of Siri, Search and Machine Learning. You will be instrumental in building a unified, groundbreaking data insights framework and data processing framework, powered by technologies such as Spark or Iceberg. You will collaborate closely with teams with varied strengths (i.e. Data Scientists and Analysts, other Engineering teams) to transform massive data into valuable, actionable datasets. You will also build a metrics platform that fuel our innovative features and future machine learning area.
Description：
As a Data Infrastructure Engineer, you will be at the forefront of designing and implementing a robust data processing framework to streamline log data pipelines, and a flexible data insights infrastructure, applying your expertise in Spark and Python. In this collaborative role, you’ll partner closely with the Siri, Search, and other teams to design solutions that process data and build metrics platform, which drive innovation. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the existing framework’s capabilities to new user scenarios and innovative machine learning applications. We’re looking for someone who thrives on tackling data challenges at scale and stays abreast of the latest advancements in big data processing on both device and server side.
职位要求：
Minimum Qualifications：
Demonstrated expertise in large-scale data processing, with a strong background of working with Spark and Python or Scala.
Understanding of distributed computing principles, data engineering and DevOps standard processes.
Proven programming skills in Python and Scala.
A genuine passion for working with data and solving complex problems at scale, in cloud platforms (AWS, GCP).
Experience with machine learning data mining.
B.S.degree in Computer Science or Data Science.
Preferred Qualifications：
Metrics infrastructure experience, including metrics sharing, management, and version control.
PhD or MS in Computer Science.
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 – Sr. Software Data Infrastructure Engineer职位是一个高度技术化的角色，专注于大规模数据处理和机器学习创新。这个职位不仅要求你在Spark、Python或Scala方面有深厚的背景，还需要你具备分布式计算和数据工程的知识。面试官很可能会重点考察你在这些技术领域的实际经验，尤其是在处理大规模数据集和优化数据管道方面的能力。 为了准备这个面试，建议你重点复习Spark和Python或Scala的高级用法，尤其是与大规模数据处理相关的部分。同时，准备好分享你在云平台（如AWS或GCP）上解决复杂数据问题的实际案例。面试官可能会问及你如何优化数据管道的性能或如何确保数据质量，因此提前思考这些问题并准备具体的例子会非常有帮助。此外，如果你有机器学习数据挖掘的经验，确保你能清晰地解释你在这个领域的贡献和成果。
在线咨询
提示：由 AI 生成回答，可能存在错误，请注意甄别。