1+ years of commercial experience with Reinforcement Learning and Deep Learning; Proficiency in Python development following best code practices; Practical experience with Python Deep Learning frameworks (Pytorch, TensorFlow); Experience in working with Reinforcement Learning Libraries (OpenAI Baselines, TFAgents); Strong knowledge of Reinforcement Learning algorithms and their fundamentals; Ability to create custom environments and train agents with main algorithms (Q-learning, SARSA, DQN); At least Intermediate English for both writing and speaking skills, ability to create and work with technical documentation; Excellent communication and organizational skills. Solve real business problems; Produce the appropriate solution according to the problem statement; Develop and optimize RL algorithms; Take an active role in all aspects of the research project, working collaboratively with others; Deliver end-to-end research.