Applied Scientist II, Advertising Trust
Core
Design, build, and ship ML models to evaluate advertising content at scale, balancing accuracy, latency, and cost to protect customer experience.
Role type
Senior IC applied scientist (advertising trust & content evaluation)
Builds
Production ML systems for content classification and evaluation
Domain
Advertising, Machine Learning, Computer Vision
Deliverable
production ML models
Required skills
Deep learning, representation learning, large language models, Python, Java, C/C++, model lifecycle management, evaluation methodology definition, visual feature extraction (pose, segmentation)
Preferred skills
Publications at top-tier peer-reviewed conferences, experience with multilingual datasets
Responsibilities
Design and ship ML models for content evaluation, translate business problems into scientific problems, own full model lifecycle, define evaluation metrics, integrate models into live systems, mentor junior scientists
Seniority
Senior, hands-on IC