Senior, Machine Learning Research Scientist (Azar)
Core
Researching and building ML systems to improve core product metrics by redefining business problems into ML problems, focusing on scaling recommendation models, aligning models with business goals, and automating moderation processes.
Role type
Senior, hands-on IC machine learning research scientist (recommendation systems & LLMs)
Builds
Scalable recommendation models, aligned post-processing pipelines, automated moderation ML processes, and research outputs (papers/open source)
Domain
Recommendation systems, Large Language Models (LLMs), Trust & Safety, Causal Inference
Deliverable
production ML models
Required skills
Causal inference, statistical analysis, recommendation systems, reinforcement learning, LLMs, multi-modal processing, client-side (Android/iOS) and backend development, hypothesis formulation, experimental design, stakeholder persuasion
Preferred skills
First-author publication in top-tier ML conferences, productizing ML systems for high-traffic services, leading research or engineering teams, global technical leadership in English
Technologies
LLMs, Reinforcement Learning, Causal Inference, Multi-modal LLMs, Android, iOS, Backend
Responsibilities
Redefine business problems into ML problems, design and select models based on data constraints, conduct experiments to find meaningful signals, collaborate with PMs and engineers, lead research direction and core judgments, publish research results as papers or open source
Seniority
Senior, hands-on IC
