Appsilon is an ambitious and fast-growing software house and consultancy specializing in decision support systems and machine learning with Fortune 500 clients across the globe. We are a unique company driven by a mission to improve our society and environment. Some examples of our #AI4good work include contributing to animal preservation in Gabon Parks, building COVID-19 dashboards, and improving data science tools for Doctors Without Borders.
We are a global leader in R and Shiny, which are used by companies of all sizes to build analytical applications. When companies run into difficult problems or want to initiate large-scale enterprise projects, they come to Appsilon.
Before you apply, please read our code of conduct.
We want to work with ambitious and motivated people who feel ownership over their work and love to learn new things. We are constantly growing and developing as a company. If you believe that your unique skills and experience can help us, write to us.
Attach your CV and include a cover letter with answers to the following questions:
If your application meets all the requirements above, it will be reviewed directly by our CEO.
Before applying read our code of conduct
Every few months we start completely new projects and dive into a new industry. One day we might discover the secrets of promotions in retail chains, another day we might analyze satellite images using machine learning. Our projects are not only an opportunity to test our skills in difficult statistical, algorithmic, and technological problems but also an opportunity to learn how many different industries work from the inside.
In this app, you can explore an AI model that the Appsilon AI team built for the xView2 competition. The model locates buildings and assesses damage sustained after natural disasters.
This app allows for an interactive exploration of disaster risk and development indicators in Madagascar.
When we build scalable and reliable enterprise dashboards, we focus on UX and a modern aesthetic that improves our models' functionality.