Sr. Applied Scientist, Sponsored Products Off-Search Sourcing
Core
Designing and developing Generative AI, deep learning, and reinforcement learning solutions to transform ad retrieval, auctions, and whole-page relevance for personalized shopping experiences.
Role type
Senior Applied Scientist (Generative AI & Ads Optimization)
Builds
Production-ready GenAI models for ad allocation and recommendation systems
Domain
E-commerce advertising, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Machine learning model development, neural deep learning methods, Java/C++/Python programming, multi-objective optimization, reinforcement learning
Preferred skills
Large scale distributed systems (Hadoop, Spark), deep learning frameworks (TensorFlow, MxNet)
Technologies
TensorFlow, MxNet, Hadoop, Spark, Java, C++, Python
Responsibilities
Contribute to GenAI and LLM solutions for ad retrieval and auctions; Collaborate cross-functionally to bring scalable science solutions to life; Identify and implement best-in-class algorithms for rapid experimentation; Mentor junior scientists and engineers
Seniority
Senior, hands-on IC