ML Data Infrastructure Engineer

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
• Collaborate closely with research teams to design and implement novel data processing architectures for emerging model and training paradigms
• Identify and resolve performance bottlenecks across the training data pipeline, from raw data ingestion to feature delivery
• Establish best practices, tooling for data infrastructure used across ML teams

• 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

• Background in MLOps, Data Infrastructure, or ML Infrastructure
• Experience with ML training pipelines, feature stores, or model-serving systems

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com

 

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.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

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