Top Gaming Machine Learning Engineer Jobs

The Senior Machine Learning Engineer at DraftKings will design scalable ML pipelines, optimize models, implement monitoring systems, and lead technical initiatives in AI development.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

Design and deliver machine learning models and cloud-based systems for frontline worker devices, including model training, optimization, and deployment in cloud environments.

As a Machine Learning Engineer - Edge, you will develop and optimize AI/ML models for resource-constrained devices, collaborate with hardware engineers, and ensure model efficiency and reliability.

As a Senior ML Engineer, you will implement and optimize ML models for production, ensuring performance and scalability while collaborating with data and backend engineers.

In this role, you'll design algorithms for real-time bidding systems, enhance forecasting capabilities, and engage in A/B testing while collaborating with cross-functional teams.

The Senior Machine Learning Engineer will advance AI capabilities in advertising through generative AI applications and traditional ML modeling, focusing on optimizing ad technology and systems.

The Machine Learning Engineer will design, deploy, and operate ML systems on AWS while ensuring reliability, cost-effectiveness, and compliance for the gaming industry.

As a Senior ML Engineer, you'll own ML-driven features from modeling to deployment, drive innovation in generative AI, and mentor junior members.

The Architect will design ML and game systems integration, support programming teams, establish quality guidelines, and disseminate ML knowledge.

The Staff Machine Learning Engineer will design and implement ML systems, build scalable architectures, collaborate with data teams, and drive technical strategy for AI applications.