Mirage
Research Engineer, Agentic Systems
About this role
Mirage seeks an ML Engineer to develop agentic systems that enable AI-driven video production and editing through natural language. You'll advance LLM capabilities for multimodal creative tasks, design novel training approaches, and build end-to-end agent systems that understand and manipulate video content.
What you'll do
- Design and build end-to-end agentic systems for creative video tasks
- Develop novel training and adaptation approaches for large language models powering agents
- Create datasets, objectives, and fine-tuning strategies to improve agent behavior and reliability
- Explore multimodal reasoning and structured generation for creative control over video
- Run systematic experiments to evaluate agent performance on real-world video workflows
- Analyze failure modes across planning, tool use, and execution loops to iterate improvements
What they're looking for
- Large language models and transformer architectures
- Agentic systems and agent design patterns
- Fine-tuning, alignment, and post-training methods
- Structured output generation and tool use
- Multimodal reasoning (text, vision, video)
- Experimental design and evaluation frameworks
- Production ML systems and deployment
- Video analysis and understanding
Benefits
- Comprehensive medical, dental, and vision coverage
- 401(k) with employer match
- Catered lunch multiple days per week
- Dinner stipend for late-night work
- Grubhub subscription and wellness perks
- Generous PTO and multiple team offsites annually
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Mirage
Mirage builds an AI-native video platform that leverages generative media and large language models to enable sophisticated video production, editing, and creative workflows. The company is hiring backend engineers, full-stack software engineers, ML engineers, and iOS developers to advance their AI-driven platform and enhance user experiences in web-based and mobile media creation.
View all jobs at MirageLikely interview questions
- Describe a production agentic system you've built—how did you design the agent loop and handle failure modes?
- What techniques have you used to fine-tune LLMs for tool use or structured output generation, and how did you measure success?