ML Data Infrastructure Engineer
AppLovin
- Location
- Onsite (Palo Alto, California)
- Compensation
- $150k - $224k/yr
- Employment
- Full-time
- Level
- Senior Level
About the Role
AppLovin is seeking an ML Data Infrastructure Engineer to design and build scalable data processing infrastructure for model training and feature serving. The role involves collaborating with research teams to implement novel data architectures and resolve performance bottlenecks across the training pipeline.
Skills
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Disability Insurance
- 401(k)
- Paid Time Off
- Paid Holidays
- Paid Sick Leave
Perks
- Unlimited PTO
- Equity
Full job details
About AppLovin
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.
The Impact You'll Make
- 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
Required Qualifications
- 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
Preferred Qualifications
- 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 peopleops@applovin.com.