Multi Media LLC
Technology
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Multi Media LLC”
Industry & Context.
Full Job Description
**About Multi Media, LLC** Multi Media LLC is the company behind Chaturbate, one of the most heavily trafficked live streaming platforms in the world. We support a global network of independent content creators and millions of real-time viewers, delivering interactive video at scale. Our infrastructure handles complex broadcasting, low-latency streaming, and high-engagement user experiences. All live, all the time. We’re building a platform where creators can express themselves freely and grow their communities, where viewers discover and interact with creators they’re drawn to, and where the team behind it is challenged, trusted, and responsible for shaping the experience of millions of users around the world. We value people who take initiative, stay curious, and care deeply about the quality and impact of what they build. ### **The Role** We are looking for a Machine Learning Engineer to join our Artificial Intelligence and Machine Learning team. In this role, you will help build, maintain, and improve production grade machine learning systems that support search, recommendations, personalization, computer vision, predictive modeling, and AI-driven experimentation across a global-scale consumer platform. This is a hands-on engineering role for someone who has experience building ML models and systems at scale, understands how to evaluate model performance in production contexts, and is excited to apply machine learning to practical product and business problems. You’ll partner closely with Data Scientists, Product, Engineering, and other cross-functional partners to translate product and business needs into scalable ML solutions that improve discovery, engagement, retention, and user experience. ### **You Will:** * Build, maintain, and improve production machine learning systems that support search, recommendations, personalization, computer vision, and predictive modeling. * Contribute to search and discovery improvements, including ranking, filtering, relevance
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