Deep Learning Engineer (вакансія неактивна)

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 they 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.

What you’ll do
• in cooperation with their 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)

For our partner 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.

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