Research Engineer - LLM

Remote job

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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 role

We are seeking an experienced Research Engineer to join our team and lead the technical development of our large language models (LLMs) initiatives, with the goal of building a reliable and advanced AI poker coach, interfacing via natural language. This role will focus on the research, design, and deployment of state-of-the-art models that push the boundaries of Explainable AI, with a strong emphasis on reliability and correctness.  A strong theoretical and practical background in machine learning is essential, and a passion for poker and building educational tools 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: 

  • Design, build, train, and optimize large language models (LLMs)

  • Develop strategies for data collection, curation, and augmentation to improve model performance and robustness

  • Collaborate with world-class researchers, engineers, product managers and poker experts to bring research ideas to production

  • Act as a technical expert for other researchers and engineers

  • 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

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:

  • 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 Large Language Models (LLMs)

  • Extensive expertise in machine learning

  • 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.


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science LLMs Machine Learning PhD Research

Perks/benefits: Career development Startup environment

Region: Remote/Anywhere

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