Startups · AI

ML Data Infrastructure Engineer

AppLovin · Palo Alto, CA · On-site

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About AppLovin

Reach over a billion daily users in mobile games. AppLovin helps consumer brands and gaming apps scale their business profitably.

About the role

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here .

What they're looking for

  • Have 1 - 3 years of experience and a minimum of a BS and/or MS in Computer Science
  • Strong software engineering fundamentals, with experience building high-throughput, fault-tolerant distributed systems
  • Hands-on experience with distributed computing frameworks such as Apache Spark or Flink
  • Solid grounding in data structures, systems design, and performance optimization
  • Strong problem-solving skills and attention to detail
More about this role

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com .

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

As a member of our ML Data Platform team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds a high-performance, high availability, globally distributed ecosystem platform of services that in turn provide the foundation for rapid development of novel new systems that integrate into that ecosystem and improve it.

  • Design and build data processing infrastructure for model training and feature serving, optimizing for performance, reproducibility, and traceability

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Read the full posting on AppLovin's site ↗

Platform Engineering

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