Senior Applied Scientist, Shopping Core Foundations - BuyForMe
Core
Designing and building autonomous AI agents that navigate the open web to enable customers to discover and purchase products from third-party merchants.
Role type
Senior Applied Scientist (Agentic AI & LLMs)
Builds
Production-grade autonomous purchasing systems and web agents
Domain
E-commerce, Agentic AI, Large Language Models, Distributed Systems
Deliverable
production ML models
Required skills
Machine learning model development, Neural deep learning methods, Java/C++/Python programming, LLMs, Multimodal reasoning, Distributed systems architecture, Agent planning and error recovery, Scalable evaluation systems
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Large scale distributed systems
Responsibilities
Design scalable evaluation and benchmarking systems for autonomous agents, Develop techniques for robust agent planning and adaptation, Build multimodal AI systems reasoning over screenshots and DOM structures, Lead scientific direction for agent reliability, Mentor scientists and engineers on advanced AI methodologies
Seniority
Senior, hands-on IC with research leadership
