Machine Learning Scientist

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.

Responsibilities

• Improve the performance of our machine learning models
• Continuously oversee the performance of models in production and develop monitoring tools to gain deeper insights into areas for model performance enhancement
• Collaborate with a team of researchers and engineers to design, implement and maintain innovative solutions to complex problems.
• Reduce the training and inference time of our ML pipeline
• Drive projects and lead new initiatives in MLOps

Requirements

• Masters or PhD degree in Computer Science, a related field, or equivalent practical experience
• Applied research experience with a successful track record of delivering quality results
• 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

Benefits

• 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.

Additional Information

• Originally posted on Himalayas