Applied Scientist II, Advertising Trust
Core
Build and deploy machine learning systems to evaluate advertising content at scale, balancing accuracy, latency, and cost to protect customer experience.
Role type
Senior IC applied scientist (advertising trust)
Builds
Production ML models and systems for content classification and evaluation
Domain
Advertising, Machine Learning, Large Language Models
Deliverable
production ML models
Required skills
Deep learning, representation learning, large language models, model lifecycle management, data analysis, system design, Python, Java, C/C++
Preferred skills
Visual feature extraction (shape, pose, segmentation), top-tier conference publications
Technologies
Python, Java, C, C++, Large Language Models, Deep Learning frameworks
Responsibilities
Design and ship ML models for content evaluation, translate business problems into scientific problems, own full model lifecycle from training to monitoring, define evaluation metrics, integrate models into live systems, mentor junior scientists
Seniority
Senior, hands-on IC