Machine Learning Engineer - Depop

Toronto, ON Full-time CA$142,400 - CA$190,100 / year

eBay is hiring a Machine Learning Engineer for Depop, its peer-to-peer circular fashion marketplace. The team develops and productionizes machine learning and AI solutions using large-scale marketplace data.

What you'll do

• Develop and deploy AI and machine learning models for marketplace and customer experiences.
• Build and scale data pipelines and distributed systems supporting production ML applications.
• Partner with engineering, product, data, and applied science teams to move solutions from experimentation into production.
• Contribute to ML infrastructure, deployment, monitoring, and operational practices.

Qualifications

• MS in Computer Science or a related field and 5+ years of relevant experience, or BS and 7+ years of relevant experience in software engineering, machine learning, AI, or a related discipline.
• Experience building large-scale distributed applications and proficiency in Java, Scala, Python, or another object-oriented or modern programming language.
• Experience with NoSQL databases or key-value stores such as MongoDB or Redis, scalable data and ML pipelines, and cloud platforms or cloud-native technologies.
• Experience with Spark or Hadoop, productionizing ML or AI models, MLOps, model serving, monitoring, observability, deployment automation, LLMs, GenAI, RAG, or prompt engineering is an asset.

Compensation

Base pay range: C$142,400–C$190,100 per year. The total compensation package may also include a target bonus, restricted stock units, and benefits.

This posting relates to an existing vacancy within eBay.