3 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 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 LLM techniques.
- Experience with fine-tuning, alignment, or post-training methods, especially for structured outputs or tool use.
- Ability to own the full stack from model-level experiments through deployed agent systems.
- Strong experimental rigor and judgment about practical agent performance.
Benefits
- Comprehensive medical, dental, and vision plans.
- 401(k) with employer match.
- Commuter benefits.
- Catered lunch multiple days per week.
- Dinner stipend when working late.
- Grubhub subscription.
- Health and wellness perks.
- Multiple team offsites per year and monthly team events.
- Generous paid time off policy.
- All roles require in-person work 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.