Research Engineer, Agentic Systems in New York

Energy Jobline ZR; New York (NY); On-site; USD 175,000 - 300,000; Full time

Benefits offered by this job

Health plans

401K match

Commuter benefits

Catered lunch

Dinner stipend

Grubhub access

Wellness perks

Team offsites

Generous PTO

Job summary

Mirage is an AI- video platform seeking an ML Engineer to push the boundaries of large models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video.

This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between models and time-based media.

Qualifications

• BS/MS/PhD in CS, ML or related field.
• Proven experience building production ML systems.
• Strong knowledge of transformers and LLMs.
• Experience with fine-tuning and alignment.
• Experience deploying agent systems.

Responsibilities

• Design and build end-to-end agentic systems for creative tasks.
• Develop novel training/adaptation approaches for large models powering agents.
• Design objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability.
• Explore multimodal reasoning and structured for creative control.
• Run systematic experiments to evaluate and improve agent performance.
• Design evaluation frameworks for agentic workflows in video analysis and editing.
• Analyze failure modes across the full agent loop and iterate on improvements.

Skills

CS/ML degree

Production ML systems

Transformer models

Fine-tuning methods

Agentic pipelines

Full-stack ownership

Education

CS/ML degree

Tools

PyTorch

LLM tooling

Job description

Job DescriptionJob Description

Mirage is an AI- video platform that intelligently orchestrates production and editing through natural . Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone.

We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.

More about us

Product(Captions by Mirage)

Research(Our Models and Agents)

Updates(Mirage on X / twitter)

TechCrunch, Forbes AI 50, Fast Company (press)

Our Investors

We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.

Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)

About the Role

Mirage is seeking an ML Engineer to push the boundaries of large models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video.

This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between models and time-based media.

Responsibilities

• Design and build end-to-end agentic systems for creative tasks
• Develop novel approaches for training and adapting the large models that power these agents
• Design new objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability
• Explore multimodal reasoning and structured 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

What makes you a great fit

• 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

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

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to , , , , , , status, genetics, protected veteran status, , or expression, or any other characteristic protected by federal, state or local laws.

Please note benefits apply to full time employees only.

Compensation Range: $175K - $300K