Senior Backend Engineer, V7 Labs

We work with billions of training data images to leverage some of the world's most complex and general purpose AI models. Our back-end development is world-class and not short of challenges Team's mission: Design, build and orchestrate backend services that enable our customers to train and leverage AI models in an elegant and performant way Technologies we use: Elixir, Phoenix, Postgres, RabbitMQ, Docker, AWS Join the team in building solutions to speed up the time to complete annotations tasks Be the go to backend engineer in the team responsible for the data flow of the AI features, both from a codebase point of view and infrastructural one Take ownership of backend tasks related to our model training and inference systems, focusing on enhancing visibility and minimising costs Upgrade/Redesign our autoscaling system for model interference Facilitate seamless integration between V7's web application and our AI system, serving as the crucial link to optimise our system for labeller's speed Employ orchestration techniques to oversee backend tasks and jobs, guaranteeing that the models provided to customers are sufficiently resourced for efficient operation

AI is currently utilised across multiple industries, requiring companies to continuously collect, organise and label image data so that AI models will be able to adapt to new scenarios. V7 Labs is a computer vision platform that helps AI teams develop vision-based models that are learning continuously from training data with minimal human supervision. V7 distinguishes itself in the market by condensing the most effective tools for organizing datasets into a single SaaS platform. The company says that using only 100 human-annotated examples in its toolkit can label the rest of the training data autonomously. Although its main business specialisations are in medicine and health sciences, its product is being picked up by tech companies in other sectors, and it now counts more than 300 customers including Siemens and GE Healthcare. The startup has recently raised funding in a Series A round led by Radical Ventures and Temasek. It will use this investment to hire more engineering and sales talent, develop its product, and expand its market share.