ml engineer Agents

Enfint; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

eBay ищет опытного инженера по ML/AI, специализирующегося на многоагентных системах и их реализации в рамках глобальной торговой платформы. Вы будете проектировать архитектуры, координировать агентов, и исследовать новые подходы к коммуникации.

Требуется образование в области CS (MS/PhD) и 5+ лет опыта, владение Python/PyTorch, знание облаков и обработки больших данных. Работа на месте в Амстердаме включит тесное взаимодействие с командами NLP и системами рекомендаций.

Qualifications

• MS/PhD in Computer Science or related area, 5+ лет в ML/AI

Responsibilities

• Проектирование и архитектура мультиигровых многоагентных систем на клиентских поверхностях eBay
• Исследование и внедрение техник взаимодействия агентов: ReAct, loops с вызовом инструментов, планирование
• Снижение задержек, управление стоимостью, обеспечение безопасности и устойчивости систем
• Работа с большими данными и мультимодальными данными для улучшения метрик рынка через A/B тесты
• Сотрудничество с исследователями и инженерами в области NLP, агентов и ML-производства

Skills

Python

PyTorch

NLP

ML Engineering

Agent systems

Cloud services

Big data

Education

MS/PhD in Computer Science

Tools

Python

PyTorch

Job description

Описание

eBay is a global ecommerce platform connecting buyers and sellers in more than 190 markets. Its Search & Recommendations team delivers large-scale, near-real-time personalized recommendations across web and native app platforms, including agentic workflows, deep learning retrieval systems, machine-learned ranking models, and advanced MLOps.

Задачи

Design and architect robust, multi-step multi-agent systems across customer-facing eBay surfaces; Build and evaluate architectures where multiple agents coordinate, delegate, and communicate to solve complex user intents; Investigate and implement techniques for agent interaction patterns, including structured communication protocols, reflection loops, evaluator-generator frameworks, and tool-augmented reasoning; Address latency optimization, cost management, safety and guardrails, and cascading failures in multi-agent production systems; Use large-scale unstructured and multimodal inventory datasets to improve core marketplace metrics through A/B testing of autonomous user experiences; Collaborate with applied researchers and engineers specializing in NLP, large language models, AI, agentic workflows, recommender systems, and ML production engineering.

Требования

MS/PhD in Computer Science or a related area; 5+ Years of relevant work experience in Machine Learning, AI, or ML Engineering; Experience researching, building, or studying systems where multiple agents interact, exchange information, critique reasoning, and coordinate decisions over time, such as ReAct, tool-calling loops, and planning systems; Extensive development experience in an ML/AI technology environment; Experience with Python and PyTorch; Experience using cloud services, big data pipelines, and databases in an industrial setting; Experience in Natural Language Processing (NLP) and industrial recommender systems; Nice to have: No preferred qualifications specified.

Условия

Amsterdam, North Holland, Netherlands.