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eBay

SWE-3 Machine Learning Engineer

Job · Full-timeIn OfficeBengaluru3-5 years1 opening

About this role

eBay is hiring for SWE-3 Machine Learning Engineer in Bengaluru. This opening was published by eBay on their official careers board (Workday) on 8 September 2026 and was confirmed live on 14 September 2026. Job details • Company: eBay • Role: SWE-3 Machine Learning Engineer • Location: Bengaluru…

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Skills you'll use

PythonJavaMachine LearningAWSAzureGCPDockerKubernetesScalaSparkHadoopCI/CD

What you'll do

  • Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose-driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay — a company you can be proud to be with.
  • eBay’s Ads teams build the production systems that help buyers discover relevant inventory and help sellers grow their businesses. These systems span multiple applied ML domains, including sponsored search, item recommendations, seller guidance experiences, ranking, retrieval, personalization, and GenAI-powered capabilities.
  • As a Machine Learning Engineer, you will help build the platforms, services, APIs, data pipelines, and MLOps capabilities that bring cutting edge AI models into production at eBay scale. You will engineer the data pipelines that feed our models, build the infrastructure to train and serve them, and develop the APIs that deliver personalized experiences to millions of users. You will work at the intersection of machine learning and software engineering, solving complex challenges in system design and the operationalization of the latest Generative AI technologies. You will partner closely with Applied Researchers, Product Managers, and Engineering teams to turn prototypes into robust, scalable, low-latency systems for millions of customers.
  • This is a shared hiring role across Ads teams. Final team placement will be determined after offers based on each candidate’s experience, strengths, and fit with the needs of Ads Recommendations, Ads Search, and Ads Guidance.

Who can apply

  • Proven ability to build and manage CI/CD pipelines for ML models, including proficiency with containerization (Docker, Kubernetes).
  • Experience with using cloud services, big data pipelines and databases, e.g. AWS, GCP, Azure.
  • Proven ability to design and build scalable, distributed systems and expose their functionality through well-designed RESTful or gRPC APIs.

About eBay

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…

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