Who Are We? 

If you played EA Sports FIFA growing up, you will know what we mean when we say we are building the real-life Player Card. 

Our mission is to help grass-roots footballers to get better faster by measuring, benchmarking and improving foundational skills required to be successful in the game. 

With Formalytics/G13R, anyone with a mobile phone can measure and improve their football performance by leveraging our proprietary combination of artificial intelligence, computer vision and augmented reality.

For more information visit;

formalytics.io

Company Story: https://www.youtube.com/watch?v=Qj7ubH3tAIQ 

About You

We are looking for a hands-on engineering lead who shares our passion for sports and cutting-edge machine learning (ML) and computer vision (CV) technologies. You will own the software development process end-to-end, delivering innovative mobile applications (both iOS and Android) to serve millions of users.  

Main Responsibilities

• Perform software development across the whole product life-cycle
• Develop and deploy our cross-platform technology subject to mobile platform constraints 
• Lead and grow our cross-platform development team
• Be a champion for rapid, experiment-driven prioritization of new features

Requirements and Experience

• 8+ years of software development experience designing and building best-in-class mobile app experiences 
• 3+ years Flutter experience 
• 5+ years leadership experience in an Agile development environment
• A strong track record of high quality product delivery 
• Excellent oral and written communication skills. Explaining technical issues in a clear way to business and other stakeholders
• Excellent understanding of data structures, data modelling and software architecture
• Have previously built products with significant mathematical and/or scientific underpinnings
• Proficiency in TDD and Unit Testing

Preferred 

• Back-end experience with Firebase and Google Cloud Platform
• Javascript, C++ experience
• Experience using one or more of our underlying technologies: ML (e.g. TensorFlow), AR (e.g. ARKit), CV (e.g. OpenCV), or GPGPU (e.g. OpenGL)