Requirements

MS/PhD in Computer Science or related area
5+ years relevant work experience in Machine Learning / AI / ML Engineering
Demonstrated experience researching, building, or studying systems where multiple agents interact
Extensive development experience, preferably in a ML/AI technology environment
Experience with using cloud services, big data pipelines, and databases in an industrial setting
Experience in Natural Language Processing (NLP) and industrial recommender systems

What you'll be doing

Design & Architect Multi-Agent Ecosystems: Build and evaluate robust, multi-step agentic systems on a variety of customer-facing surfaces
Collaborate with World-Class Experts: Work with a team of applied researchers and engineers
Advance Orchestration Research: Investigate and implement brand new techniques in agent interaction patterns
Solve Agentic Scale Challenges: Address unique challenges inherent to multi-agent production systems
Drive Marketplace Impact: Work with massive datasets of unstructured, multimodal inventory data