AppLovin is seeking a Senior Research Scientist with expertise in large-scale recommendation systems to enhance their next-generation social media platform. The role involves designing and optimizing core components of the recommendation stack to improve user engagement and retention.
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Job Summary
The role involves owning critical components of the recommendation stack including recall, ranking, and multi-objective optimization to drive ecosystem growth.
Candidates will design scalable pipelines and run offline experiments alongside online A/B testing to achieve measurable business gains.
AppLovin offers a unique opportunity to build 0-to-1 systems within a proven AI powerhouse while enjoying high ownership and direct business impact.
Matching Summary
Match Score: 85
AppLovin is seeking a Senior Research Scientist with expertise in large-scale recommendation systems to enhance their next-generation social media platform. The role involves designing and optimizing core components of the recommendation stack to improve user engagement and retention.
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Skills & Requirements
Must-have
6-8 years production-grade ML systems experience
Strong hands-on recommendation systems expertise
Proficiency in Python and PyTorch or TensorFlow
Nice-to-have
Experience with large-scale distributed training
Background in improving long-term user value
Ability to collaborate with product and engineering teams
Key Requirements
6-8 years of experience building production-grade ML systems
Strong software engineering fundamentals required
Hands-on experience in recall systems and ranking models