Adapter · 3 months ago
Graph Engineer
Adapter is a company focused on the adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs. They are seeking a Graph Engineer to design and implement robust systems for ingesting complex data types into large-scale knowledge graphs, contributing to empowering individuals through intelligent technology.
Computer Software
Responsibilities
Design and develop the ingestion, processing and application of algorithms for user data to build models of user behavior and preferences for large knowledge graphs
Design efficient implementations utilizing graph query languages to drive valuable and actionable insights and data retrieval
Collaborate with a team of designers, researchers and other stakeholders to implement the knowledge graph components required to deliver product features
Identify and address performance bottlenecks, security concerns, and other technical challenges
Stay updated on emerging technologies and industry trends in usage of AI/ML integration with knowledge graphs
Qualification
Required
Proven experience with knowledge graphs and algorithms
Strong experience in using knowledge graphs for user modeling and data ingestion from disparate data sources
Implementation experience with databases technologies such as PostgreSQL
Experience with graph query languages like GraphQL
Strong communication skills; must be able to effectively and clearly communicate vision and objectives with the team and stakeholders
Strategic thinker with the demonstrated ability to align design goals with key objectives and priorities
5+ years of experience with systems and graph algorithms
Preferred
Experience building and deploying ML models from end to end
Experience working with data science and ML teams in delivering products to market
Startup experience is a plus
Benefits
Early stage equity
Comprehensive health insurance.
Generous PTO.
Remote and in-person cultures that promote collaboration.
Company
Adapter
We are building the next generation of tools that at their core reimagine how real people interact with collaborative and intelligent technologies in their daily lives.
Funding
Current Stage
Early StageCompany data provided by crunchbase