Research Scientist role focused on identity modeling for Netflix's ad-tier members, involving machine learning, statistics, and data analysis techniques. The role requires experience in identity graphs, privacy, differential privacy, and anonymization to improve advertiser performance and member experience. Responsibilities include applying ML to business problems, identifying research opportunities, diagnosing data/model assumptions, delivering documented outputs, and serving as a strategic partner to stakeholders.

Software Engineer on the Machine Learning Platform (MLP) team, responsible for designing and building the platform that powers large-scale machine learning model training, fine-tuning, model transformation, and evaluations workflows for the entire company. Focuses on optimizing systems and models for scale and cost-effectiveness, and designing user-friendly APIs for ML practitioners.