We are looking for a Deep Learning Engineer who will work with a full cycle of ML project development, from searching and preparing datasets through creating deep learning models to preparing packages for deploying.

About us

Reface is the #1 face-swap app in the world. It won Вest of 2020 (Google Play), ranked #1 on the US App Store, hit Top Charts in 100+ countries, and now backed by Andreessen Horowitz venture fund. Snoop Dogg, Miley Cyrus, Britney Spears, Justin Bieber, and probably a bunch of your friends tried Reface. We have a team of 100+ driven folks on board (Kyiv office), including some of the top AI/ML minds.

Our mission is to create a new type of AI-based personalized content that will help people express their creativity and have fun.

Reface has a wide area of CV challenges. It includes but not limited to

• image/video instance segmentation and object detection

• image/video synthesis

• image/video emotional recognition

• image reenactment

• audio-driven CV technologies

• instance/anchor tracking, optical flow estimation

• image/video harmonization

• model performance optimization (pruning, distillation, quantization)

What you’ll do

• in cooperation with our data team create (label) datasets using existing or newly created tools; create a pipeline for online learning

• implement both well-studied ML solutions and principally new architectures from scratch

• evaluate your solutions both with ML metrics and with Product metrics

• deliver the model in a form that can be easily deployable and maintained, documenting its interfaces

• depending on the complexity of the task work independent or in a team of engineers (optionally as lead)

Minimum Qualifications

• at least 2 years of commercial experience in deep learning in one of the mentioned technologies

• sufficient level of English to explain complex things simply

• an ability to write not trivial architecture from scratch, not just copy/paste from Github

• ability to dive into the problem as deep as your deep learning skills are

• fast iterate a lot of hypothesis through prototyping small but smart solutions

• understanding the key difference in the modern deep concepts, their pros, and cons

Preferred Qualifications

• 4+ years of track record in deep learning, machine learning.

• Practical experience in developing completed Computer Vision solutions.

• Talent to think about the problem both as an engineer and as a product

• Ability to speak with business in their language to solve not ML but product tasks

What you get

• Startup environment with all its ups and downs. Mostly ups.

• Work on the next big thing, a world-known content personalization app. It’s like you live in a Silicon Valley episode, but in Kyiv.

• You can work remotely but we hope to see you in the office sometimes. On a social distance.

• We promise to challenge you to create and be creative. All the time.

• You’ll join the team of smart, driven, active folks who do their job well. And that’s the best part, we think.

Apply now! This is The Job you were looking for.