The what3words team is on a mission to create the global standard for communicating location. We’re making the world an easier, more efficient and safer place for everyone.
what3words is built on the very latest tech platforms, which we’re always innovating and improving on – from a new website to apps, car and logistics software and hardware, voice technology, OCR and more.
We're looking for an outstanding C++ developer. A large part of your role will be to build our OCR technologies, based on Tesseract. These allow our users to "scan" three words using your phone. You will be responsible for both maintenance and R&D work in OCR, refining our algorithm to improve our recognition accuracy, which will require creative algorithmic problem solving. Experience in the application of machine learning to real-world problems is highly desirable. We take a data-driven approach, with thousands of labelled sample videos which provide us with a data set to test against. You will need a keen awareness of code performance, and have a strong mathematical background. Experience in OCR itself is not required, but is desirable.
We are proud of our tech stack and you will also be exposed to technologies such as ReactJS, Docker, Redis, AWS Lambdas, Prometheus, Grafana, Python, Athena, BigQuery, Java, Scala, and Swift. At the very heart of all our tech is our core C++ SDK, which converts to/from 3 words and powers our autosuggest and voice functionality.
Life on the what3words tech team is innovative, Agile and fast-paced. You’ll be joining a group of talented people from all over the world on an unprecedented journey.
Everyday brings new challenges, and we are continually learning.
We are a global company located in West London’s creative hub. Our headquarters are near Portobello Road and a short walk from Westbourne Park and Royal Oak tube stations.
You will have:
Extra credit if you:
**Tier 2 sponsorship available for candidates requiring a UK work visa**
what3words is the simplest way to talk about location. It has divided the world into 3m x 3m squares, each with a unique 3 word address. Now people can refer to any precise location – a delivery entrance, a picnic spot or a drone landing point – using just three simple words.