About Us Scalarr is an innovative firm that has deep-rooted AI expertise with a range of products and services designed to disrupt industries in gaming and edge cybersecurity. Scalarr is proud to work with leading brands and hi-tech companies located in more than 20 countries across the globe.
26 ноября 2021

Data Scientist (Reinforcement Learning) (вакансия неактивна)

Киев, Харьков, удаленно

We use Reinforcement Learning technologies in the game product, one of the few in Ukraine. We work with modern technologies, solve problems free of bureaucracy and look for real practical solutions. Join the development of the disrupt product.

What opportunities do we offer?

  • Take part in developing new products from scratch;
  • Work with the latest Reinforcement Learning technologies in demand in the modern world;
  • Make an impact on the quality of the product;
  • Take part in solving interesting problems, free from bureaucracy, finding real practical solutions;
  • Partnership with the company that is among the Top 30 Ukrainian startups by Forbes;
  • And most importantly — to become one of the few in Ukraine who has experience working with RL in a game product.

Responsibilities:

  • Explore and implement challenging state-of-the-art algorithms;
  • Train ML models for different tasks;
  • Ensure Analytics model quality assurance and validate them;
  • Implement swiftly demo quality prototypes;
  • Convert proven useful prototypes into well-documented production-ready code;
  • Optimize python code base for production models.

Requirements:

  • Practical experience in developing Reinforcement Learning, CV solutions for game dev;
  • At least 3+ years of experience researching and developing Machine Learning algorithms;
  • Practical experience in developing Tabular Data & Time Series;
  • Deep understanding of Machine Learning & Deep Learning concepts and algorithms;
  • Experience with libraries and frameworks (PyTorch, OpenAI Gym, Scikit-learn, XGBoost, TensorFlow, etc.);
  • Deep knowledge of statistics and linear algebra;
  • Engineering background and great experience in Python.

Would be a big plus:

  • Understanding the basics of Unity;
  • Docker, Kubernetes;
  • Cloud deployment experience;
  • Experience in real-time software development and optimization for high-load systems;
  • Experience large-scale machine learning (100 GB + data sets).