16 days old

Machine Learning Infrastructure Engineer

Cupertino, CA
  • Job Code

The Special Projects team is building next-generation technologies that will shape our future. We are looking for an senior engineer to architect, build and scale a robust ecosystem for data processing services. 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 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, Java, C++)
  • You know what it takes to deploy and operate high availability production systems in the cloud
  • You have experience with designing service-oriented architectures andleveraging various data stores technologies (blob, NoSQL and relational
  • You have experience with cloud computing platform like AWS, GCP and Azure
  • Preferred Qualifications
  • Experience with full stack application development
  • Experience with Machine Learning / Artificial Intelligence research and development projects

• Develop and scale a data processing platform using the latest open-source technologies
• Develop an ETL plugin system that will enable researchers and other developers to submit and run data processing 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
Education & Experience

Posted: 2020-02-06 Expires: 2020-03-06

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