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

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.

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.

Machine Learning Scientist

Key skills