Staff, Machine Learning Research Scientist (Azar)
Core
Partner to the Head of AI to define and solve core problems in recommendation and moderation using machine learning to drive service growth.
Role type
Staff Machine Learning Research Scientist
Builds
Recommendation and moderation systems for the Azar dating platform
Domain
Dating / Social Networking / Machine Learning
Deliverable
production ML models
Required skills
PhD or equivalent research capability, 5+ years of industry ML product development, defining ambiguous business problems as ML problems, end-to-end problem solving, connecting model performance to user experience/business metrics, cross-functional leadership and persuasion
Preferred skills
Top-tier conference publication (NeurIPS/ICML/ICLR), recommendation systems/reinforcement learning/LLM theory research, scaling ML systems for high-traffic user services, leading technical discussions in English
Technologies
Deep learning, classical machine learning, statistics, optimization
Responsibilities
Define core problems in recommendation and moderation with the Head of AI; Identify new opportunities based on latest AI/ML research; Redefine business requirements as AI/ML problems and design solutions; Solve high-difficulty ML problems and verify impact on user experience and service metrics; Design the end-to-end ML system structure for data, training, evaluation, and serving; Align research topics with other ML Research Scientists and drive technical decisions for product application
Seniority
Staff, hands-on IC with strategic leadership