ML Infrastructure Engineer

Responsibilities

• Design, develop, and maintain large-scale distributed systems
• Optimize the model delivery pipeline, including training, serving, and optimizations
• Collaborate with research science and backend engineering teams to influence product roadmaps
• Speed up the performance of online models within a high-throughput, low-latency bidding ecosystem
• Solve complex technical challenges related to upgrading and implementing state-of-the-art software infrastructure

Requirements

• BS or MS in Computer Science
• 0-2 years of professional experience
• Strong understanding of computer science fundamentals, including data structures and algorithms
• Proficiency in coding fundamentals
• Experience independently creating and maintaining projects

Preferred Qualifications

• Proficiency in C++, Python, and/or Golang

Benefits

• Competitive total compensation package with pay-for-performance rewards
• Equity eligibility
• Medical, Dental, Vision, Life, and Disability insurance
• 401(k) retirement plan
• Unlimited Discretionary Time Off
• 10 paid holidays per year and 80 hours of paid sick leave per year

About the Company

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize, and grow their global audiences.