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eBay

Global marketplace for buying and selling

AI Engineer

Computer VisionConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, Italy

About the Job

Requirements

  • At least 4 years of hands-on experience designing, developing, and deploying Machine Learning or Deep Learning solutions, ideally including Computer Vision and production AI systems.
  • Strong Python skills and experience with modern machine learning frameworks such as PyTorch and/or TensorFlow, with the ability to build maintainable, testable production code.
  • Strong understanding of Computer Vision and Deep Learning techniques, with experience in areas such as image classification, detection, embeddings, similarity, anomaly detection, or related visual recognition problems.
  • Practical experience evaluating and applying foundation models, multimodal or Vision-Language Models, or Generative AI techniques, and ability to assess accuracy, limitations, latency, and cost.
  • Strong data and experimentation skills, including dataset preparation, feature engineering, statistical reasoning, error analysis, and model evaluation; familiarity with SQL and common data and machine learning libraries.
  • Experience with MLOps and production AI practices such as experiment tracking, model versioning, CI/CD, containerization, cloud deployment, monitoring, and model performance or drift management.
  • Strong analytical and communication skills, ability to explain complex AI concepts, make pragmatic technical trade-offs, stay current with the AI landscape, and work effectively across Product, Engineering, and business stakeholders.
  • Fluency in English.

Responsibilities

  • Turn AI opportunities into measurable product outcomes, from problem framing and data exploration through experimentation, validation, and production deployment.
  • Design, develop, and evolve Machine Learning and Computer Vision solutions supporting product authentication, fraud detection, and digital product experiences, selecting the right approach for the problem rather than applying a fixed model or technique.
  • Evaluate and apply modern AI approaches, including multimodal and foundation models, embeddings, and Generative AI, identifying where they can create meaningful value and where simpler, targeted models are preferable.
  • Build robust AI experimentation and evaluation practices, including representative datasets, meaningful metrics, error analysis, and repeatable validation, so model quality and business impact can be assessed objectively.
  • Productionize AI components in collaboration with engineering teams, with attention to scalability, latency, reliability, cost, model and version management, monitoring, and continuous improvement.
  • Collaborate with Product, Engineering, UX, Data, and external partners to shape requirements, communicate trade-offs, and turn AI capabilities into usable, maintainable product features.

Desired Qualifications

  • Italian language skills are a plus.

About the Company

eBay

Global marketplace for buying and selling

eBay operates a global online marketplace where buyers and sellers can trade a wide range of items, from electronics to fashion to collectibles. Sellers list items with details, buyers browse, bid in auctions or buy via Buy It Now, and the platform processes payments and facilitates shipping, earning revenue from listing fees, final-value fees, advertising, and subscriptions. eBay differentiates itself with a combination of auction-style and fixed-price listings, a large international reach, and buyer/seller protections along with seller tools and promotional options. The goal is to enable easy, varied, and secure commerce across many product categories for people and businesses worldwide.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1995

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