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 perks. This posting relates to an existing vacancy within eBay.

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📌 Machine Learning Engineer - Depop (Winnipeg)
🏢 Skillhub Solutions
📍 Winnipeg