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 ML and Data Infrastructure Lead Engineer - SPG - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200221957 / Latpro-3772251 
Date posted: Feb-08-2021
State, Zip: California, 95014

Description

ML and Data Infrastructure Lead Engineer - SPG

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI

Summary

Posted: Feb 8, 2021

Role Number: 200221957

As an engineer in the Special Projects Group, you will be part of a team building infrastructure and tools for exciting new technologies that will shape the future. You will work in a startup-like environment where products are still being defined and developed, giving you the chance to influence some of the core tools used by the project. You will be part of every stage of development from concept to deployment. We are looking for an senior engineer to architect, build and scale a robust ecosystem for data processing and distributed computation. Specifically you will develop solutions that will orchestrate and support the seamless transitioning of petabytes of data through various stages like ingestion, indexing/mining, transformation, machine learning and algorithm validation.

Key Qualifications

  • You have hands-on experience in building distributed systems, including real-time streaming and batch data processing
  • You are proficient in multiple programming languages relevant for such systems (e.g. Python, C++, Go, Java)
  • You know what it takes to deploy and operate high availability production systems in the cloud
  • You have experience designing service-oriented architectures and leveraging various data stores technologies (blob, NoSQL, and relational)
  • You have experience with cloud computing platform like AWS, GCP and Azure

Description

  • Develop and scale a data processing platform using the latest open-source technologies
  • Develop platforms that enable researchers and developers to run machine learning jobs in the cloud easily
  • Define a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment and operations
  • Influence and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies

    Education & Experience



  • Requirements

    See job description

     

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