Automatically removes background & get amazing marketing images on iOS

Senior Computer Vision Engineer at PhotoRoom

Paris | Remote / Remote
Job Type
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Eliot Andres
Eliot Andres

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 flexible : you can work from anywhere in Europe and come twice a month in Paris (fully reimbursed), or come to the office more often.

🇬🇧 PhotoRoom is an international team and we work in English.

* We will adapt to the cost of living if it is higher than Paris.

✨ About us ✨

PhotoRoom is the #1 photo editing app for entrepreneurs. Instead of manipulating pixels, users edit objects. Deep learning models ensure the translation of pixels into objects. Created by Matthieu, a Stanford and Ecole Polytechnique alumnus who led GoPro's 60 million user image editing products and Eliot, an alumnus of Ecole des Ponts with several years of deep learning experience, PhotoRoom is recognized globally by experts at TechCrunch and Apple several times for its innovative approach on image editing. The team is well funded, profitable, and advised by experts in image analysis who have worked or are working at Facebook, Apple, Twitter, Adobe, Snap, Y Combinator, and GoPro.

As a team, we value clear and candid feedback in order to learn quickly from each other and iterate on what we build. We often say that we’re looking for artisans, because an artisan cares about what is done and does it with purpose.

✨ Your core mission ✨

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 small & eager to learn machine learning team. 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' problems 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.

✨ About you ✨

  • Solid experience in computer vision, in particular in segmentation or similar tasks

  • Experience with at least one deep learning framework (PyTorch, TensorFlow, Keras, ...)

  • Experience in training neural networks on non-academic datasets

  • Quality code

4-steps process

  1. Screening call with Founder + Talent Manager

  2. Home technical assignment

  3. Assignment review with team

  4. Culture fit interview and meet the team!

Why you should join PhotoRoom

PhotoRoom provides photo editing software powerful enough to create outstanding images yet simple enough to be used without any training. We leverage deep learning to translate pixels into objects, drastically simplifying non-creative tasks such as removing backgrounds from images.

Our mission: enable entrepreneurs and small businesses to compose images that stand out.

Founded by Matthieu Rouif (10 years of experience in mobile apps, built apps used by 100+ million users) and Eliot Andres (4 years of experience in large-scale computer vision), PhotoRoom was selected by Y Combinator in 2020. Talented engineers, designers and marketers have joined the team since then, coming from Apple, Algolia or Google among others.

Today, PhotoRoom is profitable and is used by more than 5 millions of users every month. We improve our product and our technology with the support of world-class experts in the field like Yann LeCun, Roxanne Varza or Holger Seim. PhotoRoom was featured by Apple as one of the most innovative photo apps in recent years.

As a small tight-knit team, our priorities are impact and iteration speed. We ship new versions every week and talk to our users daily. There is nothing we enjoy more than working side-by-side with another team member to improve our users' experience.

Become one of the first hires in a fast-growing start-up and make your mark on a product used by millions of people.