Machine Learning Engineer II

Job description

Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product innovation, real-time systems, and creative collaboration. In this role, you won’t just build models, you’ll help define how machine learning transforms our projects and unlocks entirely new experiences. You’ll partner closely with product, project, engineering, and creative teams to identify high-impact opportunities for ML, rapidly prototype solutions, and bring them into production at scale. This is a hands-on role where strategic thinking meets deep technical execution. Responsibilities: - Work with teams and projects to develop and implement a machine learning (ML) strategy to enhance our workflows and content generation capabilities. - Educate the team on what is possible with ML. - Build pipelines and prepare data for tuning, training, and deployment of models optimized for targeted inference. - Partner with teams to prototype and test ML-powered features. - Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines. - Define, deploy, and operate agentic solutions, including integrations with MCP servers, tool definitions, and swarms...