Position: Deep Learning Engineer
Company: Reface
Category: Data Science
Experience required: 3y
English level: upper

About us

Reface is a groundbreaking AI/ML startup shifting from THE face-swapping app to a platform. Snoop Dogg, Miley Cyrus, Britney Spears, Justin Bieber, and a bunch of your friends have already tried Reface behind your back! Meanwhile, we are backed by the Andreessen Horowitz venture fund, the top AI/ML minds, and the team of talented, daring people.
Reface app:
— won Вest of 2020 (Google Play)
— ranked #1 on the US App Store
— hit Top Charts in 100+ countries
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
• speech recognition
• NLP (text summarization, sentiment analysis, entity recognition etc)
• model performance optimisation (pruning, distillation, quantisation

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

Well, you get a startup environment with all its ups and downs. Mostly ups.
• You’ll be one of those who create the fast-growing world-known entertainment app. It’s like living in the „Silicon Valley” TV show, but in real life and in Kyiv.
• You can work remotely, but we hope to see you in the flesh in the office from time to time. On a social distance, of course.
• We’ll be challenging you to create and to be creative. All the time.
• You’ll join the team of intelligent, young, active people who do their job well. And that’s the best part, we think.