Foundational Research Scientist

Responsibilities

• Drive foundational research to create new recommendation models and paradigms
• Leverage rich live user data and large-scale compute to validate models rapidly
• Collaborate closely with engineering and product teams to operationalize research
• Publish findings and contribute to the broader ML and RecSys community

Requirements

• PhD (or equivalent research experience) in CS, ML, Statistics, or a related field
• Strong background in deep learning
• Proven track record of research excellence through publications, awards, or impactful projects
• Proficiency in Python and modern ML frameworks such as PyTorch
• Experience with large-scale data and experimentation

Preferred Qualifications

• Publications in top-tier venues such as NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, or WWW
• Experience with sequential modeling, representation learning, or causal inference
• Knowledge of online experimentation and evaluation methodologies
• Industry experience deploying machine learning models in production systems

Benefits

• Competitive total compensation package with pay-for-performance rewards
• Access to massive compute infrastructure, including GPU clusters and feature stores
• Unlimited Discretionary Time Off
• Comprehensive health insurance including Medical, Dental, Vision, Life, and Disability
• 401(k) Retirement Plan

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. We are building a world-class academic-industrial hybrid research group dedicated to shaping the future of recommender systems.