🔭 Senior Computer Vision Engineer
About the role
📃 You'll join a team of experienced machine learning engineers and train neural who solve problems for millions of people
💰 60k€-75k€ + Stock-Options/BSPCE
🇪🇺 We are a European company: work in English, 2 days every 2 weeks at the Paris office, the rest remotely on the European time zone
PhotoRoom is a mobile-first photo editor that revolutionizes photo composition and retouching. Instead of manipulating pixels, users edit objects. Deep learning models ensure the translation of pixels into objects. PhotoRoom empowers mobile-first entrepreneurs to create amazing images thus enabling them to create independent and sustainable small businesses. PhotoRoom is recognized globally by experts at TechCrunch and Apple several times for its innovative approach to image editing.
The team is well funded, profitable, and advised by experts in image analysis like Yann Lecun (VP AI at Facebook), Zehan Wang (head of Twitter cortex), and other experts at Apple, Adobe, Snap, Y Combinator, Facebook, and GoPro.
What you'll do
As a Senior Computer Vision Engineer, you are in charge of improving deep learning models used by millions of users. You follow the state of the art while continuously improving our existing models.
You work with a talented machine learning engineer, a doctor, and our CTO. Our main focus is the segmentation of objects and people. You will also work on: pose estimation (human, object and scene), object labeling, skin segmentation, hair segmentation, depth estimation, 3D shape estimation, inpainting, sketching, style transfer, and more.
Computer vision solves real users' problem at PhotoRoom, it saves them time and helps them grow their e-commerce or influencer business. You take into account direct feedback from our users in your computer vision work
We have at our disposal more than $300,000 in GPU credits.
Skills We Are Excited About
- 👩💻 Solid experience in computer vision, in particular in segmentation or similar task
- 📐 Experience with at least one deep learning framework (PyTorch, TensorFlow, Keras, ...)
- ⏳ Experience in training neural networks on non-academic datasets
- 🤓 Quality code
How we work
- Team: you are humble, open to challenge, and like to help others grow. The most important is the progress of the team and the product.
- Impact: you can prioritize your time to build what will give users superpowers or wow them.
- Learning: learning and sharing knowledge makes you happy. At PhotoRoom, this holds true as a team, with machine learning, and with our users.
- Screening call
- Technical Interview
- Cultural fit interview
Why you should join PhotoRoom
PhotoRoom empowers mobile-first entrepreneurs to build their business with images. PhotoRoom automatically removes background and create amazing professional images. Instead of manipulating pixels, users edit objects. Deep learning models ensure the translation of pixels into objects. Created by Matthieu Rouif, a Stanford and Ecole Polytechnique alumnus who led GoPro's 100 million user image editing products, and Eliot Andres, an alumnus of Ecole des Ponts with several years of deep learning experience.
We are a team of 8 who love to learn and build and learn by building. Most of our customers are small businesses, creators, and entrepreneurs. We empower them with design super-powers so they can build an independent, successful business.
PhotoRoom is funded by VCs, profitable, and advised by experts in image analysis who have worked or are working at Facebook, Apple, Twitter, Adobe, Snap, Y Combinator and GoPro.