Invisible Digital Watermarking Specialist

Are you passionate about Invisible Digital Watermarking, steganography, Computer vision, Machine Learning and love experimenting with the newest technologies? Are you organized, self-driven and motivated to work in an expanding startup? Then Copyright Agent is the perfect place for you to work!

We're a vibrant start-up of talented people from various backgrounds and origins with a shared goal of making originality flourish.

Join us in building and improving applications and services like our Copyright Agent platform that protects content creators copyrights online. Leading image agencies, professional photographers, influencers, webshops and many others, collaborate with us to discover unauthorized use of their content and keep the internet clean. We are expanding our awesome team and looking for experienced people like you to join us on our journey!

In order to deliver the best product to our clients our tech stack is based on the principles of an Evolutionary and scalable Architecture. This allows us to use the right technology for each solution and not get stuck in a legacy hell.

We expect you to

  • Be passionate, organized and self-driven

  • Have strong knowledge in Invisible Digital Watermarking, steganography or related technologies

  • Have experience with Machine Learning

  • Have strong knowledge in best practices and principles

  • Have experience with various ways of storing data

  • Have experience with containerization and Docker

  • Be living within the greater Copenhagen area and able to work at our office in Copenhagen

  • Be a citizen of an EU/EEA country, Switzerland or a Nordic country

  • Be fluent in English

Bonus if you

  • Have experience with Microservice architecture

  • Have experience with cloud providers like Google Cloud Platform

  • Have experience with Node.js

  • Have experience with Event Sourcing

Our current stack

  • React

  • Node.js

  • JavaScript / TypeScript

  • Docker

  • PostgreSQL

  • Google Cloud Platform