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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 roleWe are looking for talented people to help us design, optimize and maintain our state-of-the-art AI poker engine.
As an Applied 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 thousands of 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:Optimize the training and inference performance of our deep learning modelsContinuously oversee the performance of models in production and develop monitoring tools to gain deeper insights into areas for model performance enhancementReduce the training and inference time of our neural networksDrive projects and lead new initiatives in MLOpsWe’re looking for someone who:Thrives in a fast-paced startup environmentCommunicates effectively with the ability to convey complex ideas clearly to both technical and non-technical audiencesHas sharp analytical skills to approach complex problems methodically, think creatively, and develop innovative solutions in an evolving field of researchIs enthusiast about mentoring and collaborating with colleagues, providing constructive feedback, and overseeing the theoretical rigor of projects to ensure high-quality, impactful research outcomesWhat you bring to GTO Wizard:PhD degree in Computer Science, a related field, or equivalent practical experienceApplied research experience with a successful track record of delivering quality resultsExtensive expertise in machine learning, with in-depth, hands-on experience in reinforcement learning or game theoryExceptional communication, cross discipline collaboration and leadership skillsPassion for games and how intelligent systems can teach humans problem solving skillsWhy 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.
Job details
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 roleWe are looking for talented people to help us design, optimize and maintain our state-of-the-art AI poker engine.
As an Applied 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 thousands of 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:Optimize the training and inference performance of our deep learning modelsContinuously oversee the performance of models in production and develop monitoring tools to gain deeper insights into areas for model performance enhancementReduce the training and inference time of our neural networksDrive projects and lead new initiatives in MLOpsWe’re looking for someone who:Thrives in a fast-paced startup environmentCommunicates effectively with the ability to convey complex ideas clearly to both technical and non-technical audiencesHas sharp analytical skills to approach complex problems methodically, think creatively, and develop innovative solutions in an evolving field of researchIs enthusiast about mentoring and collaborating with colleagues, providing constructive feedback, and overseeing the theoretical rigor of projects to ensure high-quality, impactful research outcomesWhat you bring to GTO Wizard:PhD degree in Computer Science, a related field, or equivalent practical experienceApplied research experience with a successful track record of delivering quality resultsExtensive expertise in machine learning, with in-depth, hands-on experience in reinforcement learning or game theoryExceptional communication, cross discipline collaboration and leadership skillsPassion for games and how intelligent systems can teach humans problem solving skillsWhy 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.
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