Software Engineer, Search Experience
On-siteAmsterdam, North Holland, The Netherlands
Job Summary
Drive engineering delivery of live ranking and recommendations experiences across eBay's website and app platforms. Collaborate with applied researchers and engineers to build, launch, monitor, and improve personalized shopping features using machine learning, NLP, and LLMs. Develop and sustain production services, feature pipelines, and experimentation workflows supporting billions of daily impressions with low-latency SLAs. Transform product requests into implementation plans while enabling A/B testing to drive measurable business outcomes. Contribute reusable patterns and documentation to accelerate the Live Ranking team's velocity and quality.
Required Qualifications
- A Master's degree in Computer Science or a related field with over two years of relevant experience
- A Bachelor's degree with more than four years of relevant experience in Software Engineering
- Experience crafting and implementing efficient, practical, extensible, and maintainable software systems in an OO language such as Java, Scala, or a similar production language
Desired Qualifications
- Experience translating product or research requirements into technical build options, estimates, feature specs, and production-ready implementation plans
- Experience working with ranking, recommendations, search, personalization, experimentation, or machine learning systems
- Experience working with large-scale data pipelines, streaming or batch processing, and distributed data platforms like Hadoop, Kafka, Spark, Flink, or comparable technologies
- Experience with Python, ML pipelines, feature engineering, model integration, model evaluation, or timely LLM workflows
- Experience in A/B testing, experiment configuration, launch evaluation, and data-guided product iteration
- Demonstrated ability to work independently on prioritized functional areas while communicating assumptions, risks, task clarifications, and tradeoffs to collaborators upfront
- Proven capability to work together with product, analytics, applied research, and engineering groups to achieve quantifiable business and technical results
- Previous experience publishing academic papers, patents/IP, or technical blogs
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