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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 has raised $75M from top-tier investors including Sequoia, Andreessen Horowitz, Kleiner Perkins, and Index Ventures, and was named to 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, developing novel approaches for training and extending large language models that understand and operate over complex, real-world video data. You'll advance agent capabilities by improving reasoning and control, enabling new forms of interaction between language models and time-based media.
Key responsibilities include: designing and building agentic systems for creative tasks; developing novel training and adaptation approaches for LLMs powering these agents; designing new objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability; exploring multimodal reasoning and structured generation for creative control; running systematic experiments to evaluate and improve agent performance; designing evaluation frameworks for agentic workflows in video analysis and editing; and analyzing failure modes across the full agent loop to iterate on improvements.
You should have a BS/MS/PhD in CS, ML, or related field with a strong track record building production ML systems or agentic pipelines. Deep understanding of transformers and modern LLM techniques is essential, along with hands-on experience in fine-tuning, alignment, or post-training methods—especially for adapting models to generate structured outputs or drive tool use. You'll own the full stack from model-level experiments to deployed agent systems, with strong experimental rigor and practical intuition for what makes agents work in production.
The role is based in-person at Mirage's NYC headquarters in Union Square. Benefits include comprehensive medical, dental, and vision coverage, 401K with employer match, commuter benefits, catered lunches multiple days per week, dinner stipends for late nights, Grubhub subscription, health and wellness perks, multiple team offsites annually, and generous PTO.
