Senior Machine Learning Engineer

eBay; Amsterdam; On-site; EUR 85,000 - 120,000; Full time

Job summary

eBay in Amsterdam is seeking a leader for their Search & Recommendations team. This role involves managing and mentoring a team of engineers and researchers specializing in natural language processing, machine learning, and AI. The ideal candidate will have substantial experience in these fields, along with a strong background in team leadership and software development. You'll be responsible for driving the strategy and implementation of advanced recommender systems, using big data technology to improve user interaction across eBay's platforms.

Qualifications

• 8 years of relevant experience in Engineering or AI (or 10 years with BS/BA).
• Experience managing and mentoring a team of 4+ members.
• Nimble engineering/research experience in an ML/AI environment.

Responsibilities

• Lead a team of applied researchers and engineers.
• Drive strategy for agentic workflows.
• Deploy state-of-the-art AI models on large unstructured datasets.

Skills

Natural Language Processing

Machine Learning

Team Leadership

Big Data Pipelines

Production Engineering

Education

MS/PhD in Computer Science or related area

BS/BA with 10 years of experience

Tools

Python

PyTorch

Scala

Java

Job description

Our Search & Recommendations team works on delivering recommendations at scale and in near real time to eBay’s 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 recommendation systems, including deep‑learning based retrieval systems for personalized recommendations, machine‑learned ranking models, and advanced MLOps in a high‑volume traffic industrial e‑commerce setting.

This Is An Opportunity To

• Lead and manage 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.
• Drive strategy for agentic workflows on a variety of surfaces at eBay.
• Influence how people will interact with recommender systems in the future, and how recommender systems technology will evolve.
• Work with unique and large data sets of unstructured multimodal data representing eBay’s vast and varied inventory, and millions of users.
• Develop and deploy state‑of‑the‑art AI models.
• Deploy big‑data technology and large‑scale data pipelines.
• Drive marketplace GMB through iterative A/B testing.

Qualifications

• MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI.
• Experience in people management and leading/mentoring a 4+ member team.
• Experience leading a nimble engineering/research team, preferably in a ML/AI technology environment (Python, PyTorch, etc.).
• Experience with using cloud services, big data pipelines and databases.
• Experience in Natural Language Processing (NLP) and industrial recommender systems.
• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high‑volume traffic webapp development in an industrial setting.
• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus.

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.