Machine Learning Engineer (вакансія неактивна)

Proven Machine Learning Experience in the production environment
Engineering background with C++ or willing to learn and work with it
M.S. degree in Computer Science or related field
JS experience is a big plus
Good knowledge of algorithms, networks
Outstanding problem-solving and analytical skills

Very warm and friendly working environment
Continuous professional competencies development and professional growth opportunities
Free external and internal professional trainings and certifications
Foreign languages learning in the company office (different levels of language skills; etc.)
Ukrainian labor legislation guarantees
40-hours working week with flexible working hours
Annual paid vacations (20 working days)
Medical insurance and health protection programs
Compensation of the transport expenses for candidates from other cities invited to our Kyiv office for an interview
Corporate / team / special events
Challenging work in an international professional environment
Starting from your first working day you will get free meals (three times a day — breakfast/dinner/supper) in the company restaurant
Sport activities in our office gym with a personal coach (yoga, boxing, etc.)

Build a complex pattern recognition system and constantly optimize its performance (measured by 50 metrics) — more details upon NDA signing
Perform research and testing on product concepts, technologies, tools, approaches
Develop ideas for concepts until they are MVP-ready
Collaborate with engineers and developers to create product designs

PROJECT
Plain and simple, we care about privacy and we don’t like what’s happening online. Data breaches are on the rise. Websites and advertisers want to know everything about you. And we live in a world where sharing is expected and demanded whether you like it or not.
Online privacy is a growing challenge and having control over it really hasn’t been an option, until now. ZEO Alliance is building an intuitive, cross-platform app that allows people to control their own privacy and access to the personal data on their own terms.
This solution will give people the ability to understand what personal data have been exposed, secure their information and control how it is being used.
TEAM
Our R&D team is working on problems which no one has ever solved before. We have an impressive backlog of privacy-related pains & gains which is the output of thorough user research — thousands of user interviews conducted all over the world. Most of the insights to be implemented within this backlog demand innovative effort. So that’s what we do here — we pursue out-of-the-box solutions to change the game and return privacy to hundreds of millions of users.