Applied Researcher - Multi-Agent Systems

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

Job summary

eBay in Amsterdam is seeking an AI leader to drive design and deployment of multi-agent systems at scale. You will bridge state-of-the-art research and massive production systems, collaborating with product, design, and analytics to shape the next generation of personalized shopping experiences.

You will mentor a global team, advance orchestration techniques, tackle latency and safety challenges, and push for measurable impact on core marketplace metrics through rigorous experimentation and

Qualifications

• MS/PhD in Computer Science or related field.
• 8+ years of experience in Machine Learning / AI / ML Engineering.
• Experience researching or building multi-agent systems.
• Strong Python and PyTorch development experience.
• Experience with cloud services and big data pipelines.

Responsibilities

• Design and Architect multi-agent ecosystems coordinating agents.
• Collaborate with researchers and engineers in NLP, AI and ML production.
• Advance orchestration research and evaluator frameworks.
• Address latency, cost, safety, and failure handling in production.
• Drive marketplace impact with large multimodal datasets and A/B testing.

Skills

Multi-Agent Systems

ReAct & Tooling

Planning Systems

Python

PyTorch

NLP & Recommender Systems

Education

MS/PhD in Computer Science or related area

Tools

Python

PyTorch

Cloud services

Big Data pipelines

Databases

Job description

At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We’re in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.

Our Search & Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the‑art recommendations systems, including agentic workflows, deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.

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 an AI leader who can drive this effort forward, provide strategic scientific direction, and get their hands dirty 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 state‑of‑the‑art 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 rigorous A/B testing of autonomous user experiences.

What you will bring

• MS/PhD in Computer Science or related area.

• 8+ 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

• A proven history of research results, demonstrated through publications in top‑tier AI/ML/NLP conferences (e.g., NeurIPS, ICML, ACL, KDD), patents, or deeply technical open‑source contributions.

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 [e-mail]. 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.