below marketmost similar roles pay hereabove market
This role pays more than
82%
of similar roles. Most pay
$165,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$225k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About eBay
eBay is a global e-commerce company that operates an online marketplace connecting buyers and sellers for a wide range of new and used goods.
eBay currently has
46 open roles
on FindRole.
Listed pay typically runs
$160,800–$228,600
across 45 roles with salary data.
The MTS 2, Software Engineer will join the team at eBay to design and develop backend systems for Knowledge Graph construction and integration. The role involves leading the architecture and implementation of systems that generate and maintain the Knowledge Graph to power product search, recommendations, and selling experiences. Key responsibilities include building scalable microservices and data orchestration layers to transform buyer and seller activity data into structured knowledge entities. The engineer will collaborate with Applied Science teams to integrate signals into machine learning and search ranking models, specifically defining features like entity embeddings, graph traversals, and semantic similarity measures. This position requires providing technical leadership across cross-functional teams, conducting design reviews, and mentoring peers in Knowledge Graph development best practices within the structured data domain.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Design and develop backend systems for large-scale Knowledge Graph construction and integration.
Architect and implement scalable microservices to transform user activity data into structured knowledge entities.
Build data orchestration layers to support the continuous generation and maintenance of large knowledge graphs.
Integrate Knowledge Graph signals into machine learning models and search ranking systems with Applied Science teams.
Define and refine features such as entity embeddings, graph traversals, and semantic similarity measures.
Provide architectural guidance and technical leadership for graph-enabled products across multiple cross-functional teams.
Conduct design reviews, contribute to technical documentation, and mentor peers in Knowledge Graph best practices.
What we're looking for
Seven years of experience in the job offered or a related occupation.
Two years of experience designing and developing backend systems for large-scale Knowledge Graph construction and integration.
Two years of experience architecting and implementing scalable microservices to process user activity data into structured knowledge entities.
Two years of experience building data orchestration layers for continuous generation and maintenance of large knowledge graphs.
Two years of experience collaborating with Applied Science teams to integrate KG-derived signals into machine learning and search ranking models.
Two years of experience defining and enhancing features such as entity embeddings, graph traversals, and semantic similarity measures for ML applications.
Two years of experience leading cross-functional efforts providing architectural guidance on graph-enabled product design and structured data systems.
Knowledge Graphs
LLM
Distributed Systems
APIs
Data Platforms
AI
ML
Ontology
Entity Resolution
Observability
SLOs
Search
Contextual Grounding
Backend Services