This is a full-time position based in Milan, with a hybrid work model (3 days per week in the office) and flexibility to support work-life balance.
What you will accomplish
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 that 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/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.
What you will bring
4+ years of hands-on experience designing, developing and deploying Machine Learning / Deep Learning solutions, ideally including Computer Vision and production AI systems.
Strong Python skills and solid experience with modern ML frameworks such as PyTorch and/or TensorFlow, plus 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 / Vision-Language Models or Generative AI techniques; 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/ML libraries.
Experience with MLOps / 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, with the 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. Italian language skills are a plus.
Additional Details
The base pay range for this position is expected in the range below
42,800 EUR - 59,000 EUR
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a range of insurance coverage (including medical) and/or other benefits (including retirement plan eligibility and various paid time off benefits, such as PTO, wellbeing and parental leave). Details of participation in these benefit plans will be provided upon an offer of employment.
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 talent@ebay.com. 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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