ML Infrastructure Engineer

About this role

AppLovin seeks an ML Infrastructure Engineer to build and maintain scalable distributed systems that support machine learning model training, serving, and optimization. You'll collaborate with research and backend teams to enhance performance and reliability of the bidding ecosystem infrastructure.

What you'll do

• Design and develop large-scale distributed systems for ML infrastructure
• Maintain and optimize the model delivery pipeline including training and serving
• Collaborate with research science and backend teams on product roadmap
• Improve performance and latency of online models
• Provide scalable infrastructure with high throughput and low latency
• Mentor and influence team members on technical challenges

What they're looking for

• Distributed systems design
• C++, Python, or Golang
• Computer science fundamentals (data structures, algorithms)
• Machine learning infrastructure knowledge
• Project creation and maintenance
• System optimization
• Scalability and performance engineering
• Cross-team collaboration

Benefits

• Fortune recognized Best Workplace in Bay Area
• Certified Great Place to Work (2021-2024)
• Competitive total compensation package
• Work on state-of-the-art ML infrastructure
• Exposure to full ML pipeline
• Globally distributed platform experience