machine learning engineer in Generative AI

eBay is a global ecommerce platform that connects buyers and sellers in more than 190 markets. Its Foundation Models team builds generative AI capabilities and products that support intelligent experiences across the company.

• Lead the technical design and delivery of Generative AI and machine learning capabilities from experimentation and prototyping through production deployment and continuous improvement;
• Build systems involving LLMs, multimodal models, agents, retrieval and context, embeddings, model adaptation, and learning from feedback;
• Make technical and architectural decisions across the ML lifecycle, including data, model training and fine-tuning, evaluation, deployment, inference, monitoring, and continuous improvement;
• Partner with applied researchers and engineers to translate research into scalable production capabilities and guide technical execution;
• Drive improvements in model and system quality while balancing latency, cost, scalability, reliability, maintainability, and observability;
• Collaborate across research, engineering, product, and platform teams;
• Mentor other engineers and contribute to technical, engineering, and experimentation practices.

• At least 5 years of hands-on experience developing and deploying machine learning systems;
• Experience owning significant ML capabilities from development through production;
• Strong expertise in modern machine learning;
• Experience with one or more of Large Language Models, multimodal models, NLP, agents, retrieval, model adaptation, or learning from feedback;
• Experience across model training or fine-tuning, evaluation, deployment, inference, monitoring, and performance optimization;
• Strong software engineering skills, particularly in Python and modern ML frameworks such as PyTorch;
• Experience designing scalable, reliable, and maintainable production systems;
• Demonstrated technical leadership, including architectural decisions, technical execution, mentoring, and navigating trade-offs across model quality, latency, cost, and reliability;
• Ability to independently lead complex technical problems and collaborate across research, engineering, product, and platform teams.

• Office role in Amsterdam, North Holland, Netherlands.