Top Gaming Machine Learning Jobs

Develop models and data-driven solutions to enhance the Sportsbook experience, implement sports models, and collaborate across teams.

Interns will work with the Machine Learning Engineering team on data architecture, pipelines, and collaboration with Data Science for model operationalization.

Lead the Safety ML team at Discord, developing AI/ML infrastructure, collaborating on safety challenges, and mentoring engineers while driving technical strategy and innovation.

Develop and optimize machine learning models for ads targeting and ranking, collaborate on the Ads ML roadmap, and enhance ad relevance and performance.

As an Applied Scientist, you will develop ML algorithms for recommendations and collaborate with teams to deploy models that enhance user experience on Twitch.

The role involves research and development of machine learning optimization, content creation, recommendation systems, and real-time moderation at Roblox.

The Director of Machine Learning Engineering will lead a team to develop, deploy, and optimize ML systems, collaborating with data science and engineering teams to drive business outcomes and enhance customer experiences.

The Staff ML Engineer will design and maintain models for ad ranking, focusing on CTR/CVR prediction and user behavior modeling, improving ad performance.

The role focuses on machine learning, especially in video and image embedding, and improving user features using ML recommendations. Requires expertise in GCP and video production metrics.

Interns will work on machine learning models for content recommendation, utilizing skills in AI, Python, and cloud technologies in a collaborative environment at Comcast.

Lead the modeling strategy for ML Bots, developing predictive features, designing ML systems, mentoring engineers, and collaborating cross-discipline to enhance player experiences within games.