Machine Learning Engineer - Agents
Core
Design, architect, and build robust multi-agent ecosystems and agentic workflows to power personalized recommendations at scale for eBay's global e-commerce platform.
Role type
Senior Machine Learning Engineer (Agentic Workflows & Multi-Agent Systems)
Builds
Autonomous multi-agent systems, agentic workflows, and next-generation recommendation experiences for millions of buyers and sellers.
Domain
E-commerce, Large Language Models (LLMs), Multi-Agent Orchestration, Recommender Systems
Deliverable
production ML models
Required skills
Multi-agent system design, LLMs and foundation models, agentic workflows, NLP, recommender systems, Python, PyTorch, cloud services, big data pipelines
Preferred skills
Research in agent interaction patterns, tool-augmented reasoning, latency optimization for long-horizon tasks, A/B testing of autonomous experiences
Technologies
Python, PyTorch, Cloud services, Big data pipelines, Databases
Responsibilities
Design and evaluate multi-step agentic systems where agents coordinate to solve complex user intents; Implement new techniques in agent interaction patterns and tool-augmented reasoning; Address production challenges like latency optimization, cost management, and safety guardrails; Drive marketplace impact through A/B testing of autonomous user experiences using massive unstructured datasets.
Seniority
Senior, hands-on IC
