Mirage
Research Engineer, Agentic Systems
About this role
Mirage seeks an ML Engineer to advance agentic systems for creative video tasks, developing novel approaches for training LLMs to reason over multimodal data and execute complex editing workflows through natural language.
What you'll do
- Design and build end-to-end agentic systems for video editing and analysis tasks
- Develop novel training and adaptation methods for large language models powering agents
- Create datasets, fine-tuning strategies, and objectives to improve agent behavior and reliability
- Explore multimodal reasoning and structured generation for creative control
- Run systematic experiments to evaluate agent performance on real-world video tasks
- Analyze failure modes across planning, tool use, and execution to drive iterative improvements
What they're looking for
- Large language models and transformer architectures
- Fine-tuning, alignment, and post-training methods
- Agentic systems and multi-step reasoning
- Multimodal learning and structured generation
- Experimental design and evaluation frameworks
- Production ML systems and full-stack ownership
- Video understanding and time-based media processing
- Tool use and agent control mechanisms
Benefits
- Medical, dental, and vision coverage
- 401(k) with employer match
- Catered lunch multiple days per week and dinner stipends
- Commuter and Grubhub benefits
- Health and wellness perks
- Multiple team offsites and monthly events with generous PTO
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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 ML system you built from scratch—what was the hardest part moving from research to deployment?
- Walk us through how you'd approach designing an agent that needs to make multi-step decisions over video content.