Machine Learning Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Enhance the effectiveness of our machine learning models.

• Regularly monitor the performance of models in production and create monitoring tools to acquire deeper insights into areas for performance improvement.

• Work alongside a team of researchers and engineers to develop, implement, and sustain innovative solutions to intricate challenges.

• Minimize the training and inference duration of our ML pipeline.

• Lead projects and spearhead new initiatives in MLOps.

⛳️ Requirements

• A Master's or PhD degree in Computer Science, a related discipline, or equivalent practical experience.

• Experience in applied research with a proven track record of achieving high-quality results.

• Extensive knowledge in machine learning, particularly with substantial hands-on expertise in reinforcement learning or game theory.

• Outstanding communication, collaborative, and leadership abilities.

• A strong passion for games and an understanding of how intelligent systems can help humans develop 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.