Are you passionate about pushing the boundaries of AI in poker? Do you dream of developing cutting-edge algorithms that will revolutionize how people learn and play the game? PokerSkill is seeking a brilliant and driven AI Research Scientist to lead our poker AI development efforts.
At PokerSkill, we're on a mission to democratize poker education through innovative AI-powered learning experiences. As our AI Research Scientist, you'll be at the forefront of this revolution, developing state-of-the-art poker AI using counterfactual regret minimization (CFR) and other advanced techniques.
This is a unique opportunity to apply your expertise in game theory and AI to create meaningful impact in the world of poker education. You'll work closely with our small but mighty team of 5, directly shaping the future of our product and potentially the entire poker learning landscape.
Key Responsibilities: • Lead the research and development of our poker AI, with a focus on CFR and other cutting-edge algorithms.
• Design and implement AI models that can be effectively integrated into our learning platform.
• Collaborate with our product and engineering teams to align AI capabilities with user needs and product goals.
• Stay at the forefront of poker AI research, constantly exploring new techniques to improve our technology.
• Publish research findings in academic journals and represent PokerSkill at industry conferences.
• Mentor and guide junior team members in AI development and best practices.
Qualifications: • Ph.D. or Master's degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
• Deep expertise in game theory, reinforcement learning, and specifically counterfactual regret minimization.
• Strong programming skills, particularly in Python, with experience in AI frameworks like TensorFlow or PyTorch.
• Proven track record of research publications or significant contributions to AI projects, ideally in the poker domain.
• Excellent problem-solving skills and ability to think creatively about complex challenges.
• Strong communication skills, able to explain complex concepts to both technical and non-technical audiences.
• Passion for poker and a desire to innovate in poker education (playing experience is a plus but not required).
Why Join PokerSkill? • Be part of a small, agile team where your work will have immediate and significant impact.
• Work on cutting-edge AI technology in a domain ripe for innovation.
• Flexible work environment with competitive compensation (equity included).
• Opportunity to shape the future of poker education and potentially impact millions of learners.
If you're ready to take on the challenge of developing world-class poker AI and revolutionizing how people learn the game, we want to hear from you. Apply now and let's reshape the future of poker together!