Deep Learning Engineer

Published on Aug 10, 2021

A Product company with office in Kyiv, Ukraine.

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1-3 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities

• 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)

What You Should Bring

• 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


• 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 Will Get Benefits

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.

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