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ML Data Infrastructure Engineer
Summary by AIEngineer.careers
ML Data Infrastructure Engineer is a ML Infrastructure Engineer role (full-time). with AppLovin. in PALO ALTO, US. Compensation shown: $221K–$331K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
PALO ALTO · US
$221K–$331K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
AppLovin is seeking an ML Data Infrastructure Engineer to upgrade and implement software infrastructure for its ML Data Platform. The role requires strong software engineering fundamentals and experience with distributed computing frameworks. A background in MLOps, data infrastructure, or ML infrastructure is preferred.
Responsibilities
- Upgrade and implement software infrastructure for the ML Data Platform
- Collaborate with ML engineers and data scientists to support data pipelines
- Ensure scalability and reliability of distributed computing frameworks
Requirements
- 1-3 years of software engineering experience
- Strong software engineering fundamentals
- Experience with distributed computing frameworks
Nice to Have
- Background in MLOps
- Experience with data infrastructure
- Experience with ML infrastructure
Tech Stack
Data InfrastructureDistributed computing
AppLovin
Palo Alto · US · 464+ employees
AppLovin helps businesses reach audiences in-app and on mobile devices across CTV and beyond. The company provides a suite of solutions for app monetization and user acquisition, helping publishers and advertisers drive growth and maximize revenue.
