Machine Learning Engineer
About The Position
As part of eBay's focused C2C strategy, the company is investing in the future of circular commerce and the next generation of conscious consumers. 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. They 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. This role offers an opportunity to influence how AI and Machine Learning shape the future of Depop's global marketplace and customer experience, work with large and unique datasets, develop and deploy state-of-the-art AI and ML models into production, build and scale large data pipelines and distributed systems, partner across engineering, product, data, and applied science teams, and contribute to modern ML infrastructure, deployment, monitoring, and operational best practices at scale.
Requirements
- 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.
- Strong problem-solving skills with a willingness to learn and adopt new technologies as needed.
- Experience with cloud platforms and cloud-native technologies.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- RRSP eligibility
- various paid time off benefits, such as PTO and parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
