Reinforcement Learning Engineer
Skills
Computer ScienceChatbotsGame TheoryOnline PokerOptimizationProbability TheoryPytorch
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Engineering or Mathematics
- 5+ years in machine learning
- Experience designing and implementing machine learning models in real scenarios
- Proficiency in C++
- Familiarity with TensorFlow PyTorch or scikit-learn
- Understanding of probability theory statistics and algorithms
- Excellent communication skills
- Ability to collaborate with cross-functional teams
- Passion for poker and understanding of the game mechanics
- Experience with Chat Bots Security and Fairness Game Theory and Game Solving
Nice to have
- Deep understanding of player behavior
- Industry trends
Day to day
- Lead the development of machine learning models and algorithms for online poker
- Collaborate with cross-functional teams to define project requirements and deliver solutions
- Conduct research and data analysis to evaluate the performance of models and identify improvements
- Integrate machine learning models into production systems with software engineers
- Mentor junior members and foster continuous learning and growth