AppTweak

AppTweak’s Dev and Data Science teams are organized into 7 squads. A squad is a cross-functional team that has full ownership and autonomy over a specific area of the AppTweak tool.

Each squad decides how they organize themselves—but in general, they each set up 2-week sprints with the following rituals:

• Stand-ups: daily or several times a week, depending on the squad
• Sprint plannings and retrospectives to start and end each sprint
• Demo days: Every month, the squad showcases recently-released features to the whole AppTweak team.
• Debug: bugs are managed on a weekly basis, on Thursday.

Our projects cover a significant part of the machine learning spectrum: tabular data, clustering, natural language processing, image analyses, time series analyses… Our challenge is to find, understand, and properly use the most promising technologies for each of these fields.

Some of our algorithms are trained with >500M data points, which require the optimization of convergence and memory management. We sometimes train on GPUs and need to optimize all this CUDA sorcery.

We build and maintain REST APIs to serve the predictions of our algorithms, ensuring we meet the speed requirements of the software.

Our whole frontend layer has been modernized and is now built using ReactJS with Redux and sagas to handle state and data loading. As the main application is now fully in React, we would like to improve our front-end architecture by migrating towards a micro front-end architecture.

Some parts of the application (like our keyword table) have to display thousands of data, so we always have to keep performance optimization in mind. The application constantly evolves with weekly releases. One of our challenges is to maintain a high-quality front-end standard. 

• 40-min interview with the Talent acquisition manager.
• 1-hour interview with the Hiring Manager

• Take-home test

• 1 final interview to debrief the case