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ML Infrastructure Engineer
Summary by AIEngineer.careers
ML Infrastructure Engineer is a AI Infrastructure Engineer role (full-time). with AppLovin. in PALO ALTO, US. Compensation shown: $124K–$250K. 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
$124K–$250K
Full-time
JUNIOR
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 Infrastructure Engineer to design and maintain large-scale distributed systems for their advertising platform. You will work on the full ML pipeline including training, serving, and optimization, collaborating with research and backend teams. This role is ideal for early-career engineers with strong CS fundamentals.
Responsibilities
- Design, develop, and maintain large-scale distributed systems
- Collaborate with various engineering teams to meet technological challenges
- Work closely with research science and backend teams to influence product roadmap
- Speed up performance of online models and optimize model delivery pipeline
Requirements
- 0-2 years of experience
- Minimum BS/MS in Computer Science
- Excellent knowledge of data structures, algorithms, and coding
Nice to Have
- Good experience with C++, Python, and/or Golang
- Experience independently creating and maintaining projects
Tech Stack
Python
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.
