ML Data Infrastructure Engineer
Job Location:
Palo Alto, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
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: .
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 youll 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 provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Depending on the position offered equity and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package in addition to dental vision and other benefits.
Other Types of Pay: Equity eligible
Health Insurance: Medical Dental Vision Life Disability
Retirement Benefits: 401(k) Retirement Plan
Paid Time Off: Unlimited Discretionary Time Off
Paid Holidays: 10 paid holidays per year
Paid Sick Leave: 80 hours per year
Method of Application: Apply online
Application Window: The application window is expected to close within 30 days of the posting date.
All questions or concerns about this posting should be directed to
CA Base Pay Range
$221000 - $331000 USD
Required Experience:
IC
About Company
AppLovin connects you to audiences in-app, on mobile devices, across streaming TV, and beyond. Our advanced suite of solutions for app monetization and user acquisition drives growth and maximizes revenue for publishers and advertisers globally. Grow your business with AppLovin.
