Lustre

Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net. We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing: * Automatically process massive amounts of structured data. * Understand the context of the information to create useful connections to aid in predicting the best products. * Research and implement new traversals of our knowledge graph to gain more leverage from our data. * Communicate with the machine learning team to get them the data they need for improving recommendations. * Implement API routes for serving knowledge graph data to the frontend. * Write and maintain thorough unit and integration tests. An ideal candidate will: * Have experience with graph database technology (or a willingness to learn) * Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering * Have 4+ years experience building out backend services (bonus points for ops knowledge). * Enjoy digging through data to solve problems and find new optimizations. * Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals. Email me at stuart@lustre.ai if interested. We are also hiring for: * Director of engineering * Scraping infrastructure lead * Scraper engineer