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.
About the team and the role:
eBay Inc. seeks MTS 2, Software Engineer in San Jose, CA
What you will accomplish:
Job Duties: Design and Develop Backend Systems for Knowledge Graph Construction and Integration. Lead the architecture and implementation of backend systems that generate and maintain eBay’s Knowledge Graph (KG), which powers product search, recommendations, and selling experiences across the marketplace. Build scalable microservices and data orchestration layers that transform eBay’s massive buyer/seller activity data into structured knowledge entities and relationships. Collaborate with Applied Science Teams to Integrate Knowledge Graph Signals into ML Models and Search Ranking. Define and refine features such as entity embeddings, graph traversals, and semantic similarity measures for integration into eBay’s retrieval and ranking models. Provide Technical Leadership and Drive System-Level Innovation Across KG and Structured Data Domains. Serve as a technical lead across multiple cross-functional teams, providing strategic direction and architectural guidance in the design of graph-enabled products. Contribute to internal documentation, conduct design reviews, and mentor peers in KG best practices. Partial telecommuting permitted from a commutable distance.
What you will bring:
Minimum Requirements: Seven years of experience in the job offered or a related occupation.
Special Skill Requirements:
- Design and develop backend systems for large-scale Knowledge Graph (KG) construction and integration. (2 years)
- Architect and implement scalable microservices to process user activity data into structured knowledge entities. (2 years)
- Build data orchestration layers supporting continuous generation and maintenance of large knowledge graphs. (2 years)
- Collaborate with Applied Science teams to integrate KG-derived signals into machine learning and search ranking models. (2 years)
- Define and enhance features such as entity embeddings, graph traversals, and semantic similarity measures for ML applications. (2 years)
- Lead cross-functional efforts providing architectural guidance on graph-enabled product design and structured data systems. (2 years)
- Drive technical innovation across KG and structured data domains to improve product search, recommendations, and selling experiences. (2 years)
- Contribute to technical documentation, conduct design reviews, and mentor peers in Knowledge Graph development best practices. (1 year)
Salary: $187,741.00-262,700.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Must be legally authorized to work in the U.S. without sponsorship.
Additional Details
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Remote roles are not eligible for U.S. visa sponsorship.
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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Skills Required
- Seven years of experience in the job offered or a related occupation.
- Two years designing and developing backend systems for large-scale Knowledge Graph construction and integration.
- Two years architecting and implementing scalable microservices that process user activity data into structured knowledge entities.
- Two years building data orchestration layers for continuous generation and maintenance of large knowledge graphs.
- Two years collaborating with Applied Science teams to integrate Knowledge Graph signals into machine learning and search-ranking models.
- Two years defining and enhancing entity embeddings, graph traversals, and semantic similarity measures for machine learning applications.
- Two years leading cross-functional efforts and providing architectural guidance for graph-enabled products and structured data systems.
- Two years driving technical innovation across Knowledge Graph and structured data domains.
- One year contributing to technical documentation, conducting design reviews, and mentoring peers in Knowledge Graph development best practices.
- Legal authorization to work in the United States without sponsorship.
eBay Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.
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Healthcare Strength — Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
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Leave & Time Off Breadth — A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
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Equity Value & Accessibility — Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.
eBay Insights
What We Do
eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.
