Init ML is a young startup created by experienced and talented people previously working at Google (Google Cardboard, Art Selfie). We are funded by Y Combinator and many more.
We are on a mission to revolutionise how images are produced using Machine Learning
We are making ClipDrop, an app that turns mobile photos into professional product visuals by removing the background and automatically adjusting the result.
Our launch went viral and ClipDrop won a Product the year Award from ProductHunt.
The co-funders are based in Paris France, but we work in English. We are a full remote company.
We value diversity, and are committed to create a fair and safe workplace for everyone.
Skills: Android
ClipDrop is looking for a Senior Android Engineer.
You will develop the mobile app of a YC-backed / award winning start up.
💰 Competitive salary
🦸♀️ Full-time position
🌍 Paris-based / fully remote / working in english
ClipDrop is a startup created by small team of engineers and ML researchers previouslyworking at Google (co-creator of Google Cardboard, Art Selfie) and Facebook AI research. We are funded by **Y Combinator** and Air Street Capital.
We are on a mission to revolutionise how images are produced using Machine Learning.
We are making ClipDrop, an app that turns mobile photos into professional product visuals.
ClipDrop won the 🥇 2020 Product of the year Award from ProductHunt.
The co-funders are based in Paris France, but we work in English. We are a fully remote company.
We value diversity, and are committed to create a fair and safe workplace for everyone.
Transfer objects from mobile to the desktop is just the tip of the iceberg.
The mobile app can also work as a standalone and we are doubling down on our most successful use-case: help sellers create perfect product images in just a few clics.
We are looking for an experienced React Native developer.
You’ll help develop the next version of ClipDrop for Android.
If you love the mobile stack and are excited to push the quality bar everyday, this job is for you!
Required:
Bonuses
Our pipeline is fast and we can fast forward it if you need an answer quickly.
3-steps process:
Deep Learning applied to computer vision.
Click on apply will take you to the actual job site or will open email app.