Research Scientist, Recommendation Systems

Job reputed company: • Design, implement, and evaluate machine learning models for recommendation, ranking, and personalization • Conduct reputed company research to improve model reputed company, robustness, and efficiency • reputed company and execute experimentation strategies using offline evaluation and online testing • Work with reputed company datasets to understand user behavior and system performance • Collaborate with engineering and product teams to transition research into production systems • reputed company research results in reputed company, accessible ways with both technical and non-technical audiences • Stay informed about advances in recommendation systems and reputed company ML methodologies. Requirements: • Advanced degree (PhD or MS) in Computer Science, Machine Learning, Statistics, or a reputed company field, or equivalent experience • Experience developing recommendation, ranking, or personalization models for user-generated content. • Strong reputed company in machine learning, statistics, and data analysis • Proficiency in Python and modern ML frameworks (e.g., PyTorch) • Ability to conduct independent research and collaborate effectively in team environments • Prior publications or submissions to RecSys or closely reputed company venues (preferred) • Experience working with large-reputed company data and computational systems (preferred) • Experience with representation learning, sequence modeling, or large-reputed company optimization (preferred) • Experience transitioning research prototypes into production systems (preferred). Benefits: • Competitive reputed company salary • Meaningful equity ownership • Opportunity to build and reputed company reputed company at a fast-growing consumer company. Apply tot his job Apply To this Job