Applied Scientist, Personalization, DTx Science
Core
Lead applied science strategy for recommendation creation and personalization to improve advertiser ad console experiences and boost ad revenue.
Role type
Senior IC machine learning scientist (personalization & recommendation)
Builds
Personalized ad console experiences and recommendation systems for millions of advertisers
Domain
Advertising technology / Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, deep learning, reinforcement learning, LLMs, causal modeling, A/B testing, statistical analysis, large-scale data modeling, algorithm design, numerical optimization, distributed computing
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Lead end-to-end ML projects with high ambiguity and scale; build, experiment, optimize, and deploy ML models; run A/B experiments and perform statistical analysis; develop scalable automated processes for model development and serving; collaborate with engineers to bring models to production.
Seniority
Senior, hands-on IC