1 day ago
Amsterdam, NetherlandsSenior
Responsibilities
- Design and architect robust multi-step, multi-agent systems across customer-facing eBay surfaces.
- Build systems in which agents coordinate, delegate, communicate, critique reasoning, and solve complex user intents.
- Research and implement agent interaction patterns such as structured communication protocols, reflection loops, evaluator-generator frameworks, and tool-augmented reasoning.
- Optimize latency and cost while addressing safety, guardrails, and cascading failures in production multi-agent systems.
- Collaborate with applied researchers, engineers, product, design, analytics, and globally distributed Search & Recommendations teams.
- Use large-scale unstructured and multimodal inventory data and A/B testing to improve marketplace metrics and autonomous user experiences.
Requirements
- Master’s or PhD in Computer Science or a related area.
- At least 5 years of relevant work experience in Machine Learning, AI, or ML Engineering.
- Demonstrated experience researching, building, or studying systems where multiple agents interact, exchange information, critique reasoning, and coordinate decisions over time.
- Extensive development experience, preferably in an ML/AI technology environment, including Python and PyTorch.
- Experience using cloud services, big data pipelines, and databases in an industrial setting.
- Experience in Natural Language Processing and industrial recommender systems.
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