Research Engineer (Agentic Systems)

• 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

Benefits

• Anything you need to do your best work
• Comprehensive medical, dental, and vision plans
• We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future- Comfort owning the full stack, from model-level experiments to deployed agent systems
• BS/MS/PhD in CS, ML, or related field
• Deep understanding of transformers and modern LLM techniques
• Strong experimental rigor and good taste for what makes agents actually work in practice
• Experience with fine-tuning, alignment, or post-training methods, especially for adapting models to generate structured outputs or drive tool use
• Strong track record building production ML systems or agentic pipelines