Design and build end-to-end agentic systems for creative tasks
Develop approaches for training and adapting the large language models powering the agents
Create 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 planning, tool use, and execution and iterate on improvements
Requirements
BS, MS, or PhD in computer science, machine learning, or a related field
Strong track record building production ML systems or agentic pipelines
Deep understanding of transformers and modern large language model techniques
Experience with fine-tuning, alignment, or post-training methods, particularly for structured outputs or tool use
Ability to own the full stack from model-level experiments through deployed agent systems
Strong experimental rigor and practical judgment about effective agent behavior
Benefits
Comprehensive medical, dental, and vision plans
401K with employer match
Commuter benefits
Catered lunch multiple days per week
Dinner stipend every night when working late
Grubhub subscription
Health and wellness perks
Multiple team offsites per year and monthly team events
Generous PTO policy
In-person work required at the NYC headquarters in Union Square; benefits apply to full-time employees only
Salary: $175k - $275k/yr
Mirage
At Mirage, we’re building full-stack foundation models and products that redefine video creation. Over 20 million content creators and businesses use Captions to reach their full creative and commercial potential.