Apple | Software Engineer – Apple Maps Data Team | Cupertino, CA | United States | BigDataKB.com | 21 Oct 2022

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Job Location: Cupertino, CA

Summary

Posted: Aug 19, 2022
Weekly Hours: 40
Role Number:200409131
Do you want to be part of the team that helps to ensure iPhone users across the world can get to their destinations accurately and on time? Our Maps engineering team makes sure that the data behind the Maps App is kept current and accurately reflects the constantly evolving world we live in. The work we do touches the daily lives of hundreds of millions users whether they are commuting to work, driving to a destination during a vacation, meeting friends, or visiting the latest popular restaurant.

Key Qualifications

  • Experience with scaling data pipelines to hundreds of petabytes using Spark and Hadoop
  • Proficiency in at least two general programming languages (e.g. Java, Scala, Python) along with a strong background in algorithm and data structures
  • Experience developing web services
  • Validated production level experience deploying pipelines

Description

The world is a constantly evolving place, and as such, our Maps are evolving too! Our team acknowledges these changes, and adapts the data to ensure accurate information is reflected in our Maps. We do this by understanding GPS probe and other data sources including but not limited to Satellite imagery which ultimately improves personalized Maps experiences. We collaborate with Data Scientists to take Machine Learning and Deep Learning models from prototype to production and work with internal teams to drive the development of web-services based ML platform and tools that supports rapid deployment of these data processing pipelines. You are self-motivated and data-driven, you communicate optimally, you have experienced the intricacies of modern big-data processing systems

Education & Experience

Bachelors or Master’s degree in Computer Science, Software Engineering or related field and 5+ years of experience as a software engineer will be considered.

Additional Requirements

  • While the following skills are not vital, they would be helpful to this role:
    • Experience in building, deploying and running scalable applications in the cloud (K8s, AWS, etc)
    • Experience with distributed database, file storage and data encryption
    • Experience with mainstream machine learning frameworks such as Pytorch, Tensorflow




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