MTS-2 Machine Learning Engineer

About the role

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? eBay’s Ads teams build the production systems that help buyers discover relevant inventory and help sellers grow their businesses.

What you'll do

• Design, build, and operate scalable backend and ML systems supporting sponsored experiences, ranking, retrieval, and personalization
• Develop and own the MLOps pipelines for continuous integration, continuous delivery (CI/CD), training, validation, and monitoring of all production-grade models
• Engineer robust data pipelines using big data technologies to process vast datasets for model training and feature engineering
• Implement and optimize both traditional ML models and state-of-the-art Generative AI models (including LLMs) for low-latency serving and high-throughput environments
• Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened, production-ready code

What you need

• 9–16 years in software engineering
• Machine learning
• REST APIs
• Java
• Python
• AWS
• Docker
• B.Sc or M.Sc or B.Tech or B.E.

Good to have

• TensorFlow
• PyTorch
• Kubernetes
• LLMs
• ETL
• Data structures