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Labelbox | San Francisco, CA or Remote (Global) | Onsite | Remote OK | https://labelbox.com To build AI you need algorithms, compute, and data. While we have collaborative tools for tasks like writing and debugging code, the machine learning world has no standard tooling for labeling data, storing it, debugging models, or continually improving their accuracy. Labelbox solves the bottleneck in ML by providing a complete solution with fast labeling tools, human workforce, data management, a powerful API, and automation features. To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/labelbox Our open positions: * Frontend Software Engineer: https://jobs.lever.co/labelbox/c213a5c0-a07e-43db-a38d-456a1... * Fullstack Software Engineer: https://jobs.lever.co/labelbox/e039822c-084d-4430-a1bb-88171... * Head of Engineering: https://jobs.lever.co/labelbox/1f65cb0a-0102-4360-864e-0623a... * Senior Backend Software Engineer: https://jobs.lever.co/labelbox/66fc362e-3406-459b-af88-fe6b7... * Senior Frontend Software Engineer: https://jobs.lever.co/labelbox/9e236de3-bf92-40c6-98f4-0d705... * Senior Product Manager: https://jobs.lever.co/labelbox/f96edc97-7487-4119-8440-b2f38... * Product Designer: https://jobs.lever.co/labelbox/b3aa8757-a93a-4f1f-87f6-ebb34... Tech Stack: On the frontend, we use TypeScript, React, Redux, GraphQL, Apollo. On the backend, we use Node.js, Go, TypeScript, MySQL, Elasticsearch, Redis. Everything is containerized in Docker and running on Kubernetes.