Senior ML Engineer - SEO Science

Overview

Lead AI/ML solutions for search and discovery functionalities in eBay's platform.

Responsibilities

• Design, build, and deploy production-grade Machine Learning and AI solutions at scale.
• Develop scalable ML pipelines, feature stores, and inference systems using distributed computing frameworks.
• Build and optimize RAG architectures leveraging vector databases, embeddings, retrieval systems, and LLMs.
• Design Agentic AI solutions capable of orchestrating workflows, reasoning across multiple tools, and automating complex business processes.
• Collaborate with Product, Engineering, Applied Scientists, and Leadership teams to define AI strategy and roadmap.
• Drive innovation in Generative AI, Knowledge Graphs, Search, and Discovery technologies.
• Mentor engineers and contribute to technical leadership across the organization.
• Establish engineering best practices for model development, deployment, monitoring, and governance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field.
• 10+ years of industry experience in Machine Learning, Applied AI, Data Science, or Data Engineering.
• Strong production-grade programming experience in Python.
• Proven experience building and deploying ML solutions into production environments.
• Strong expertise in distributed data processing using Spark, PySpark, Hadoop, and SQL.
• Strong communication, collaboration, and technical leadership skills.
• Cloud platform experience (AWS, GCP, or Azure).
• Open-source contributions or leadership within AI/ML communities.

Nice to have

• Hands-on experience with:
• Large Language Models (LLMs)
• Generative AI applications
• Retrieval-Augmented Generation (RAG)
• Agentic AI frameworks
• Knowledge Graphs
• Vector Databases and Embedding Models