Labelbox: Sr. Software Engineer, Fullstack @ Machine Learning Startup

Summary

Published on June 28, 2020

Software Engineer, Fullstack @ Machine Learning Startup. When we build software, we take for granted the existence of collaborative tools to write and debug code. Labelbox vision is to become the default software for data scientists to manage data and train neural networks in the same way that Git Hub or text editors are defaults for software engineers.

Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Google, Kleiner Perkins and First Round Capital and has been featured in Tech Crunch Web Summit and ForbesResponsibilitiesStrong understanding of Javascript with an interest in using TypescriptExperience managing/scaling SQL databases, orchestrating migrations, and disaster recoveryExperience working with Redux and architecting large single page applicationsExperience and interest in frontend testingOptimizing data models and database configurations for both ease-of-use and performant response timesFollow-on ResponsibilitiesBuilding new features and resolvers in our Graph QL API with Node.

JSExperience with SQL databasesExperience optimizing web trafficExperience with Rabbit MQ (or other message broker) and RedisExperience constructing and monitoring ETL pipelinesExperience with Logstash / ElasticsearchFamiliarity with Kubernetes and DockerRequirements5+ years of experience building large-scale web applicationsA bachelor degree (or equivalent) in computer science or a related field.

We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture.

The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there.

Rather than requiring companies to create their own expensive and incomplete homegrown tools, we have created a training data platform that acts as a central hub for humans to interface with AI.

Perks & Benefits:Medical, Dental & Vision coverageFlexible vacation policy

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