About us

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.

About the role

We are looking for talented people to help us design, optimize and maintain our state-of-the-art AI poker engine. As a Machine Learning Scientist in the engine team, you’ll have a key role in building and optimizing the training and inference performance of our deep learning models served in production to our users. You will also be implementing state-of-the-art algorithms and actively collaborating with other team members to find novel approaches to optimize our machine learning pipeline. 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.

In this role you will:

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

We’re looking for someone who:

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

What you bring to GTO Wizard:

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

Why you’ll love being part of the GTO Wizard team:

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.

Originally posted on Himalayas

Machine Learning Scientist at name