Overview
Overview
V7
At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.
We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).
The product you’ll work on
V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving complex, domain-specific challenges with AI. V7 Darwin provides a comprehensive suite of tools for data labeling, video annotation, and medical imaging annotation.
Take a 90-second tour or dive into how we’re shaping the future of vision AI.
About the Role
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
What You’ll Do
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 minimizing 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 optimize 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.
Who you are
Bachelors or higher in Computer Science or a related field with a strong portfolio of projects.
A backend engineer with strong architectural design skills
Expertise in functional programming, with working experience using Elixir
A strong interest in ML and applying AI to solve problems
Infrastructure management experience at scale; you should be comfortable in using AWS and terraform
Proficiency in queue management and observability, utilizing RabbitMQ as our primary tool.
Experience with orchestration tools like Docker
Fluent in English
Be the first to know aboutnew jobs every week
Get 8 new jobs with salaries, once per week! Sign up here so you don't miss a single newsletter.