Expoint – all jobs in one place
המקום בו המומחים והחברות הטובות ביותר נפגשים
Limitless High-tech career opportunities - Expoint

Apple AIML - Sr Software Data Infrastructure Engineer ML Innovation 
China, Shanghai 
995952551

Yesterday
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.
  • 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.
  • 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.