We are building cutting-edge agentic workflows and next-generation recommendation experiences powered by the latest advancements in LLMs, foundation models, and multi-agent orchestration. We are looking for a Machine Learning Engineer who can develop this effort forward bringing complex, autonomous systems into production at eBay scale. In this role, you will bridge the gap between state-of-the-art research and massive production systems. You will work closely with leaders and globally distributed teams across our Search & Recommendations organization, including product, design, and analytics, to design the mechanics of how multiple intelligent agents collaborate, and reason to enable the future of personalized e-commerce shopping.
What you will accomplish
Design & Architect Multi-Agent Ecosystems: Build and evaluate robust, multi-step agentic systems on a variety of customer-facing surfaces at eBay, focusing on architectures where multiple agents coordinate, delegate, and communicate to solve complex user intents.
Collaborate with World-Class Experts: Work with a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI / agentic workflows, recommender systems, and ML production engineering
Advance Orchestration Research: Investigate and implement brand new techniques in agent interaction patterns, including structured communication protocols, reflection loops, evaluator-generator frameworks, and tool-augmented reasoning.
Solve Agentic Scale Challenges: Address unique, frontier challenges inherent to multi-agent production systems, including latency optimization for long-horizon tasks, cost management, safety/guardrails, and handling cascading failures.
Drive Marketplace Impact: Work with unique, massive datasets of unstructured, multimodal inventory data to move core marketplace metrics (GMB) through thorough A/B testing of autonomous user experiences.
What you will bring
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, exchange information, critique reasoning, and coordinate decisions over time (e.g., ReAct, tool-calling loops, planning systems).
Extensive development experience, preferably in a ML/AI technology environment (Python, PyTorch, etc.)
Experience with using cloud services, big data pipelines and databases in an industrial setting
Experience in Natural Language Processing (NLP) and industrial recommender systems
Links to some of our previous work
RecSys 2025 paper
Tech Blog 2025 (GenAI Agentic Platform)
Google Cloud Blog 2024
eBay Tech Blog 2022
RecSys 2021 paper
Additional Details
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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