Applied Machine Learning Scientist
GTO Wizard
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Optimize the training and inference performance of our deep learning models
- Continuously oversee the performance of models in production and develop monitoring tools to gain deeper insights into areas for model performance enhancement
- Reduce the training and inference time of our neural networks
- Drive projects and lead new initiatives in MLOps
Requirements
- 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.
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
deep learningmachine learningreinforcement learninggame theorymodel optimizationneural networksMLOpsperformance monitoringinference performancetraining performance
Soft Skills
communicationcollaborationleadershipproblem solvingcross discipline collaboration
Certifications
PhD in Computer Science