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Mirage is an AI-native video platform that uses natural language to orchestrate production and editing, leveraging models that replicate professional editor decisions. The company is backed by top-tier investors including Sequoia, Andreessen Horowitz, Kleiner Perkins, and Index Ventures, and was recently featured in Forbes AI 50 and Fast Company's Most Innovative Companies.
As a Research Engineer focused on Agentic Systems, you will design and build end-to-end agentic systems for creative video tasks. Your work will advance agent capabilities, improve reasoning and control, and enable new interactions between language models and time-based media.
Key responsibilities include:
- Design and build end-to-end agentic systems for creative tasks
- Develop novel approaches for training and adapting large language models powering 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 video 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
Ideal candidates have a BS/MS/PhD in CS, ML, or related field with a strong track record building production ML systems or agentic pipelines. You should have deep understanding of transformers and modern LLM techniques, experience with fine-tuning, alignment, or post-training methods (especially for structured outputs and tool use), comfort owning the full stack from model experiments to deployed systems, and strong experimental rigor.
This is a full-time, in-person role based at Mirage's NYC headquarters in Union Square. The company offers comprehensive benefits including medical/dental/vision, 401K matching, commuter benefits, catered meals, wellness perks, and generous PTO.