SWE-3 Machine Learning Engineer

Overview

SWE-3 Machine Learning Engineer role in eBay Ads teams building ML platforms and services that bring AI models into production for sponsored experiences and recommendations.

What you'll do

• Design, build, and operate scalable backend and ML systems for sponsored experiences, ranking, retrieval, and personalization.
• Develop and own MLOps pipelines for CI/CD, training, validation, and monitoring of production-grade models.
• Engineer data pipelines for model training and feature engineering using big data technologies.
• Implement and optimize traditional ML and Generative AI models for low-latency, high-throughput serving.
• Translate research prototypes into production-ready code with Applied Researchers.
• Monitor system performance, diagnose production issues, and improve reliability and efficiency of ML services.

What you'll need

• BS in Computer Science or related area.
• 4+ years of relevant work experience in ML/AI/Data or Software Engineering.
• Production engineering practices and software development in an OO language (Scala, Java, Python, etc.).
• Experience with big data distributed processing frameworks (Apache Hadoop, Spark, Flink).
• Production experience with ML frameworks like TensorFlow and PyTorch.
• Ability to build and manage CI/CD pipelines for ML models; containerization proficiency (Docker, Kubernetes).
• Experience with cloud services (AWS, GCP, Azure) and scalable data pipelines/databases.

Details

• Location: Bengaluru, India.
• This is a shared hiring role across Ads teams, with final team placement based on candidate experience and Ads team needs.