About the role
Our story: The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world. Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader , with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so. What we are looking for: We are seeking an engineer experienced in designing and implementing robust systems to ingest diverse, complex data types into large-scale knowledge graphs, who will play a key role in shaping and creating the product, which at its core aims to empower individuals through thoughtful collaboration with intelligent technology. You will partner with a brilliant team of engineers and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies. We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed around the country with hubs in Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.
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
