MLOps, Machine Learning Engineer

🕒 June 3

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GTO Wizard

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎮 Gaming

📚 Education

👥 B2C

Gaming • Education • B2C

GTO Wizard is an innovative platform designed to help poker players improve their skills through the use of Game Theory Optimal (GTO) analysis tools. With a vast array of preflop and postflop solutions, users can easily access and practice various poker situations right from their desktop or mobile devices. The platform offers features such as hand history analysis and practice modes, ensuring that both beginners and experienced players can enhance their gameplay with efficiency and ease.

📋 Description

• 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.

🎯 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.