Mirage Research Engineer, Agentic Systems at Mirage develops and advances large language models for multimodal creative tasks. The role focuses on building agentic systems that understand and operate over complex real-world data, especially video.
Responsibilities
Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video.
This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.
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
What makes you a great fit
BS/MS/PhD in CS, ML, or related field
Strong track record building production ML systems or agentic pipelines
Qualification
BS/MS/PhD in CSExperience with fine-tuning
Required
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-tra
