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GTO Wizard is the leading poker training tool, trusted by top players and industry brands worldwide. Recognized as the #1 educational resource in poker, we’re revolutionizing poker education and providing thousands of players with the tools to elevate their game. Our global team thrives on a culture of autonomy, responsibility, and excellence, empowering talented professionals to grow and succeed as part of a fast-growing company. If you're passionate about poker, eager to shape the future of the game, and ready to move up in stakes by joining a company that values passion, growth, and innovation, join us in redefining how poker is studied and played.
We’re seeking a motivated, and skilled research scientist to join our team and help us build state-of-the-art technology and guide its development. In this role, you’ll play a crucial role in driving our research efforts in game theory and reinforcement learning. You’ll be responsible for overseeing the research vision and pushing beyond the current state of the scientific literature. The ideal candidate has a deep background in game theory and is experienced in modern reinforcement learning literature to extend the solving capabilities of our AI engine. A strong theoretical background in machine learning and algorithms is essential, and a passion for poker is a big plus. If you are passionate about pushing beyond the state-of-the-art and solving complex problems this role is for you.
Conduct cutting-edge research and development in reinforcement learning and game theory
Act as a technical expert for other researchers and engineers, guiding the research of multiple endeavors at the same time
Collaborate with world-class researchers and engineers to bring research ideas to production
Create prototypes targeting practical adoption in GTO Wizard
Keep up-to-date with the latest research and development in the field by constantly reviewing scientific literature
Thrives in a fast-paced startup environment
Communicates effectively with the ability to convey complex ideas clearly to both technical and non-technical audiences
Has sharp analytical skills to approach complex problems methodically, think creatively, and develop innovative solutions in an evolving field of research
Is enthusiast about mentoring and collaborating with colleagues, providing constructive feedback, and overseeing the theoretical rigor of projects to ensure high-quality, impactful research outcomes
PhD degree in Computer Science, a related field, or equivalent practical experience
Theoretical research experience with a successful track record of delivering quality results or academic publications in top machine learning venues
Strong understanding of mathematics in fields like optimization and game theory
Extensive expertise in machine learning, with in-depth, hands-on experience in reinforcement learning or game theory
Exceptional communication, cross discipline collaboration and leadership skills
Passion for games and how intelligent systems can teach humans problem solving skills
Impactful Work: Be part of a company that's transforming how poker is studied and played worldwide.
Innovative Environment: Work with cutting-edge technology and contribute to a platform that's pushing the boundaries of poker strategy.
Professional Growth: We support your personal and professional development with opportunities to learn new skills and take on exciting challenges.
Collaborative Culture: Join a team where your ideas are valued, and you can make a real impact in a supportive, inclusive environment.
Flexible Work Arrangements: Enjoy the benefits of remote work while collaborating with a global team.
Passionate Community: Engage with a vibrant community of poker enthusiasts and professionals who are passionate about the game.
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