MTS 2, Software Engineer (Knowledge Graph & LLM)

Posted:
1/6/2025, 3:53:35 PM

Location(s):
Shanghai, China

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

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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eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

 

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eBay

Website: https://www.ebay.com/

Headquarter Location: San Jose, California, United States

Employee Count: 10001+

Year Founded: 1995

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Auctions ⋅ E-Commerce ⋅ Internet ⋅ Marketplace ⋅ Retail