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← All postings · July 2022 thread

Graphistry

CompanyGraphistry
Websitegraphistry.com
Typecontract
Role taxonomyFrontend
SpecialtiesFrontend
LocationEverything graph - Full stack UI, AI, DE, WebGL / US + GLOBAL + · Remote
Salary
Apply viaApplication linkhttps://www.graphistry.com/careers
Hiring notes
TechReactPythonKubernetesDockerML/AI
Parsed locationsEverything graph - Full stack UI, AI, DE, WebGL, US + GLOBAL +
RegionsWorldwide
Posted bylmeyerov
PostedJul 1, 2022
SourceView on Hacker News ↗

Original posting

Graphistry | Everything graph - Full stack UI, AI, DE, WebGL | US + GLOBAL + REMOTE | contract + fte | Graph intelligence for digital crime, supply chain, & more Teams use Graphistry to fight fraud, manage global supply chains, investigate misinformation, and other areas where they need to work with the relationships in operational data. We're pioneering the emerging graph compute tier, which eliminates most needs for graph databases by enabling graph compute, visualization, automation, and AI to work faster (GPU accelerated) and more easily by directly connecting into modern data stacks. You may have heard of new data technologies like Apache Arrow and GPU dataframes, which our R&D team helped start in the earliest stages in our mission, and graph neural networks, which AI teams are switching to for everything from protein folding to fraud detection. We work closely with our users to make these experience easy and accessible for important industries. Join us around our core platform & customers, especially around: * Frontend engineering, with an emphasis on UI, data visualization (JS, React, ...), data experiences * Graphics engineering - WebGL/WebGL2 for the next 10X scaling of our visual tier * Fullstack PyData - Python, asyncio, Nvidia RAPIDS.ai, docker/k8s, to help build out our graph compute tier & cloud UI * Data people (Data science, Data engineering, Architects) - Jointly with our customers, work on our cyber, supply chain, etc. use cases, underlying architecture, and build back into our platform. Bringing graph to mlops, data science, automl, etc. Info @ https://www.graphistry.com/careers