Research Engineer, Agentic Systems

About the role

Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You'll design and build end-to-end agentic systems for creative tasks, develop novel approaches for training and adapting large language models, explore multimodal reasoning and structured generation for creative control, and run systematic experiments to evaluate and improve agent performance in real-world tasks.

Responsibilities

• Design and build end-to-end agentic systems for creative tasks
• Develop novel approaches for training and adapting the large language models that power these agents
• Design new 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 the full agent loop (planning, tool use, execution) and iterate on improvements

Requirements

• BS/MS/PhD in CS, ML, or 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 adapting models to generate structured outputs or drive tool use
• Comfort owning the full stack, from model-level experiments to deployed agent systems
• Strong experimental rigor and good taste for what makes agents actually work in practice

Qualifications

• Experience with large language models and multimodal reasoning
• Knowledge of transformer architectures and their applications
• Ability to develop and implement new approaches for training and adapting models
• Experience with evaluating and improving agent performance in real-world tasks
• Strong analytical and problem-solving skills

Skills

• Expertise in machine learning and deep learning
• Experience with natural language processing and multimodal reasoning
• Strong programming skills in Python, R, or equivalent
• Experience with model fine-tuning and adaptation
• Understanding of ethical considerations in AI development

Benefits

• Comprehensive medical, dental, and vision plans
• 401K with employer match
• Commuter Benefits
• Catered lunch multiple days per week
• Dinner stipend every night if you're working late and want a bite!
• Grubhub subscription
• Health & Wellness Perks
• Multiple team offsites per year with team events every month
• Generous PTO policy

Pay

$175K - $275K

Schedule

In-person at our NYC HQ (located in Union Square)