H/F Machine Learning Engineer - Ecommerce

At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We’re in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

With the recent acquisition of Depop, a leading consumer-to-consumer fashion marketplace with a highly engaged Gen Z and Millennial customer base, eBay is expanding its portfolio of complementary C2C businesses while preserving the distinct brand, community, and product experience that make Depop unique.

The Depop team is building intelligent, scalable experiences powered by the latest

Machine Learning, AI, NLP, LLM/GenAI, and RAG technologies . We work with large-scale marketplace data and modern ML infrastructure to develop and productionize solutions that improve how millions of buyers and sellers interact with the Depop marketplace.

Influence how AI and Machine Learning shape the future of Depop’s global marketplace and customer experience.

Work with large and unique datasets, including structured and unstructured marketplace data representing millions of users and items.

Develop and deploy state-of-the-art AI and ML models into production with direct, measurable impact on buyers and sellers.

Build and scale large data pipelines and distributed systems that support production ML applications.

Partner across engineering, product, data, and applied science teams to take ML solutions from experimentation through production.

Contribute to modern ML infrastructure, deployment, monitoring, and operational best practices at scale.

MS in Computer Science or a related field with 5+ years of relevant experience, or BS with 7+ years of relevant experience in Software Engineering, Machine Learning, AI, or a related discipline.

Experience building large-scale distributed applications and proficiency in an object-oriented or modern programming language such as Java, Scala, or Python.

Experience working with NoSQL databases and key-value stores such as MongoDB or Redis.

Experience building and supporting scalable data and ML pipelines.

Experience with large-scale data processing technologies such as Spark or Hadoop is a plus.

Experience productionizing Machine Learning or AI models and building supporting infrastructure is a plus.

Experience with MLOps, model serving, monitoring, observability, and deployment automation is a plus.

Experience with Large Language Models (LLMs), GenAI, RAG, and prompt engineering is a plus.

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 full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status.If you have a need that requires accommodation, please contact us View email address on publisher.sourcingsquare.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.

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