MTS 2, Software Engineer (Knowledge Graph & LLM)

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Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Job Description

eBay is seeking a talented and experienced Senior Programmer or Algorithm Expert with a strong background in knowledge graph development to lead our Chat2Insight project. This project aims to build a robust data knowledge graph that will streamline data accessibility for our business teams, ultimately enhancing decision-making and operational efficiency.

Key Responsibilities:

• Design, develop, and implement a comprehensive knowledge graph that integrates data from various sources within eBay.
• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand their data needs and refine the knowledge graph accordingly.
• Apply advanced algorithms and machine learning techniques to enhance data retrieval, inferencing, and relationship mapping within the knowledge graph.
• Ensure the scalability and performance of the knowledge graph architecture to support real-time analytics and insights.
• Develop user-friendly tools and interfaces that allow non-technical business users to easily access and manipulate data through the knowledge graph.
• Conduct regular assessments of the knowledge graph's performance and accuracy, making iterative improvements as needed.
• Stay updated with the latest advancements in knowledge graphs, natural language processing, and related technologies to incorporate best practices into our project.
• Build an enterprise knowledge graph and use it in conjunction with large language models (LLMs) to create an intelligent enterprise data analysis platform.
• Develop and optimize frameworks for testing accuracy and recall rates.
• Establish best practices for high-quality enterprise knowledge base construction.
• Process structured and unstructured data from cleaning to provisioning for large model engines.
• Implement offline computations to map external platform materials to corresponding internal data, including entity dictionaries, classification models, intent recognition & slot-filling plugins/patterns/models, NLG strategies and templates, DM script plugins, US ranking plugins, and webhook logic plugins.
• Manage content by application/skill with version control to ensure statelessness, quick portability, rollback, and distribution.

Requirements:

• Master’s or PhD in Computer Science, Data Science, Information Systems, or a related field.
• Experience in addressing complex problems in real-world enterprise settings.
• Background in data warehousing or data business is a plus.
• Experience in designing knowledge graph searches is a must.
• Proven experience in designing and implementing knowledge graphs or similar data structures.
• Strong programming skills in languages commonly used in data engineering and analysis (e.g., Python, Java, Scala).
• Experience with graph databases (e.g., Neo4j, Amazon Neptune) and data modeling techniques.
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and their applications in data processing.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, dynamic environment.
• Strong communication skills, both written and verbal, with the ability to present complex information clearly to non-technical audiences.
• Experience in solving illusion problems, familiarity with popular open-source large models, and fine-tuning experience.

Disclaimer: Please note that by applying to this role, you are agreeing to be considered for multiple positions. This is a general description of the qualifications and skills required for positions of this type of role.

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