4 hours ago
Base Salary
$175k - $275k/yr
Responsibilities
- 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
Categories
About 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.