The ultimate all-in-one GTO study tool.
MLOps – Machine Learning Engineer
Location
United States
Posted
6 days ago
Salary
0
Seniority
Senior
Job Description
MLOps – Machine Learning Engineer
GTO Wizard
• Build and maintain large-scale distributed training and evaluation pipelines for Deep Reinforcement Learning. • Design scalable infrastructure for training, evaluation, model management, and experiment tracking. • Build dashboards and monitoring tools to track training progress, model quality, compute usage, and agent performance. • Optimize the training and inference performance of our Deep Learning models. • Improve cost efficiency across cloud/GPU infrastructure and make high-impact infrastructure decisions. • Work closely with researchers and engineers to reduce iteration time and improve model accuracy. • Help design reproducible ML workflows, including data pipelines, checkpointing, evaluation, versioning, and deployment. • Identify bottlenecks across the full ML stack: model architecture, data loading, GPU utilization, distributed training, inference, and infrastructure. • Contribute directly to ML improvements that increase accuracy, robustness, and compute efficiency.
Job Requirements
- Strong software engineering skills and experience building reliable production-quality systems.
- Hands-on experience with PyTorch or similar deep learning frameworks.
- Experience building infrastructure for machine learning training and evaluation.
- Experience with distributed training at scale across GPUs or clusters.
- Strong understanding of ML training workflows, model evaluation, experiment tracking, and performance monitoring.
- Ability to optimize systems for speed, reliability, and cost efficiency.
- Applied ML or ML infrastructure experience with a successful track record of delivering quality results.
- 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.
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