Applied Scientist - GenAI, Trust and Store Integrity Science
Core
Build advanced machine learning systems using GenAI/LLM/VLM to prevent eCommerce fraud and manage transaction safety at scale.
Role type
Applied Scientist (GenAI, Trust & Store Integrity)
Builds
Highly automated risk evaluation solutions and scalable ML systems for millions of daily transactions
Domain
eCommerce, Fraud Prevention, Generative AI
Deliverable
production ML models
Required skills
GenAI/LLM/VLM technology, end-to-end ML solution design, large-scale data analysis, algorithm design, distributed computing, Java, C++, Python
Preferred skills
Leading large-scale AI transformation projects, strong publication record in top-tier conferences (CVPR, NeuIPS, ICML, ACL, EMNLP)
Technologies
GenAI, LLM, VLM, Java, C++, Python
Responsibilities
Innovate with GenAI/LLM/VLM for automated risk evaluation, design and deploy end-to-end ML solutions in production, build scalable automated processes for model development and validation
Seniority
Senior, hands-on IC
