SWE-3 Backend Engineer, ML Systems

Overview

Backend Engineer for eBay’s ML Systems within Ads teams, building ML platforms and production services for large-scale AI models.

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 robust data pipelines using big data technologies for model training and feature engineering.
• Implement and optimize traditional ML and Generative AI (including LLMs) for low-latency, high-throughput serving.
• Collaborate with Applied Researchers to turn prototypes into production-ready code.
• Monitor performance, resolve production issues, and improve reliability and efficiency of ML services.

What you'll need

• BS in Computer Science or related area with 4+ years of relevant ML/AI/Data Engineering work experience.
• Production engineering practices and OO software development experience (Scala, Java, Python, etc.).
• Experience with big data distributed processing frameworks such as Apache Hadoop, Spark, or Flink.
• Production perspective experience with ML frameworks like TensorFlow and PyTorch.
• Ability to build/manange CI/CD pipelines for ML models, including containerization (Docker, Kubernetes).
• Experience using cloud services and big data pipelines/databases (AWS, GCP, Azure).
• Ability to design and build scalable distributed systems exposed via RESTful or gRPC APIs.

Details

• Location: Bengaluru, India.