Full Stack Engineer

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About Us

Encord is a London-based startup building a comprehensive training data solution for computer vision AI applications. We are backed by CRV, Y Combinator Continuity, the Harvard Management Company, top industry executives, and other leading Bay Area investors.

Started by ex-computer scientists, physicists, and quants, we felt firsthand how the lack of tools to prepare quality training data was impeding the progress of building practical AI. AI feels to us like what the early days of computing or the internet must have felt like, where the potential of the technology is clear, but the tools and processes surrounding it are terrible. We have devised a unique methodology for automating the tasks related to preparing quality training data, in effect turning the training data problem into a data science problem.

The Role

We are looking for an experienced full stack engineer to help us build delightful features fuelling state-of-the-art AI applications. You will also:

• Work with our wider tech stack to own and solve problems from end-to-end

• Collaborate closely with the business teams to understand and solve our customers’ pain points

• Be the clue between dedicated frontend and backend developers to ensure that new features are delivered consistently and that engineering

standards are upheld across the many codebases and processes you will encounter

The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning.

Qualifications

The right candidate will have proven experience working as a full stack software engineer. Experience with any of the following is a plus:

• Stitching together many and large distributed services and processes

• ReactJS (incl. Hooks) & Redux, ES6+, HTML5, TypeScript

• Tornado or Django; Relational database systems (e.g. PostgreSQL); Docker

What We Offer

Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, and agriculture.

Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. We offer competitive compensation and equity options in the business for the right candidate.