Research Engineer, Agentic Systems

Mirage is an AI-native video platform seeking a Research Engineer to develop agentic systems and large language models for multimodal creative tasks, particularly video. The role focuses on advancing agent capabilities, improving reasoning and control, and enabling new interactions between language models and time-based media. You'll design end-to-end agentic pipelines, fine-tune LLMs, and build evaluation frameworks for video analysis and editing.

• Design and build end-to-end agentic systems for creative tasks
• Develop novel approaches for training and adapting the large language models that power these agents
• Design new objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability
• Explore multimodal reasoning and structured generation for creative control
• Run systematic experiments to evaluate and improve agent performance in real-world tasks
• Design evaluation frameworks for agentic workflows in video analysis and editing
• Analyze failure modes across the full agent loop (planning, tool use, execution) and iterate on improvements

• BS/MS/PhD in CS, ML, or related field
• Strong track record building production ML systems or agentic pipelines
• Deep understanding of transformers and modern LLM techniques
• Experience with fine-tuning, alignment, or post-training methods, especially for adapting models to generate structured outputs or drive tool use