2 hours ago
Toronto, CanadaSenior
Responsibilities
- Develop and deploy state-of-the-art AI and machine learning models into production for Depop’s marketplace.
- Build and scale data pipelines and distributed systems supporting production ML applications.
- Work with large structured and unstructured marketplace datasets representing millions of users and items.
- Partner with engineering, product, data, and applied science teams to take ML solutions from experimentation through production.
- Contribute to ML infrastructure, deployment, monitoring, observability, 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 with NoSQL databases and key-value stores such as MongoDB or Redis.
- Experience building and supporting scalable data and ML pipelines.
- Experience with cloud platforms and cloud-native technologies.
- Strong problem-solving skills and willingness to learn and adopt new technologies.
- 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, GenAI, RAG, and prompt engineering is a plus.
Benefits
- Base pay range is C$142,400–C$190,100, with potential target bonus and restricted stock units; compensation figures are excluded from benefits classification.
- Benefits may include medical, financial benefits, RRSP eligibility, PTO, and parental leave.
- The role is an existing vacancy at eBay and includes equal opportunity and accommodation support.
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