Position: CV/ML Research Engineer
Company: Data Science UA
Experience required: 3y
English level: intermediate

Our client is Ukrainian deep tech startup, developing the ecosystem of tools for AI-assisted virtual content creation
Every year, the virtual worlds evolve. Every year, filling up these worlds with content takes more and more time and effort. Our client develops a system of tools that bring a new level of realistic visual effects, improve and speed up the development process, and provide a hyper-personalized in-game experience to everyone, working along three main tracks - data compression, visual effects creation, and 3d content generation. 

Our client's company is a system of powerful AI-based solutions for creating realistic and interactive real-time particle simulations. The first product in this series is Liquids. It is a cross-platform, easy-to-use solution for liquid simulation, gaining popularity among developers due to its unique features and best-in-class performance. 

Our client's Compression engine is a next-gen AI-powered solution for compressing virtual volumetric data. It drastically decreases the asset size and simplifies working with: 

SDFs
Precomputed lighting 
Baked visual effects. 
Our client 3d content generation engine is an AI-based technology that speeds up the creation of 3d content for all virtual worlds. 

Requirements:

— Have practical expertise in Deep Learning (pref. Computer Vision);
— Know how to find the best possible baseline and how to conduct your own research to improve it;
— Have a problem-solving mindset and focused on obtaining the result;
— Love challenges and are able to learn and move fast.

Would be a plus:

— Experience with CG pipelines (3D graphics and geometry) esp. in connection with ML;
— Practical knowledge of CUDA, C++.

What we offer:

— Make an impact on a global scale;
— Lots of challenges and growth opportunities;
— High degree of professional freedom & autonomy;
— Team of skilled experts, who are also your friends;
— Stock options.