Applied Scientist, TSI Science
Core
Build advanced machine learning systems using GenAI/LLM/VLM to detect eCommerce fraud, evaluate risk, and automate operations for millions of daily transactions.
Role type
Senior Applied Scientist (Fraud Detection & Risk)
Builds
Automated fraud detection and risk evaluation systems
Domain
eCommerce, Financial Risk, Machine Learning
Deliverable
production ML models
Required skills
GenAI/LLM/VLM, end-to-end ML solution design, scalable data analysis, model validation, Java, C++, Python, algorithms and data structures, numerical optimization, distributed computing
Preferred skills
Leading large-scale AI transformation, publications in top-tier conferences (CVPR, NeuIPS, ICML, ACL, EMNLP)
Technologies
GenAI, LLM, VLM, Java, C++, Python
Responsibilities
Innovate with GenAI/LLM/VLM for automated fraud detection and risk evaluation; Design, develop, and deploy end-to-end ML solutions in production; Build scalable processes for model development and implementation; Collaborate with business partners and engineering teams.
Seniority
Senior, hands-on IC