---
title: Research Engineer, Agentic Systems at Mirage
description: Mirage is hiring for the Research Engineer, Agentic Systems role in New York,
  NY. Pays $175K–$300K per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/research-engineer-agentic-systems-at-mirage-01a0e89d-2fb3-7980-81e2-af88b88965de
date: 2026-09-28T21:26:28Z
og_description: Join Mirage as Research Engineer, Agentic Systems in New York, NY. Pays $175K–$300K
  per year. Full-time, on-site role.
og_image: https://www.foundrole.com/og/zid42s.png
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  - label: Home
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---

| | |
|---|---|
| **Company** | Mirage |
| **Location** | New York, United States |
| **Salary** | $175K/yr - $300K/yr |
| **Type** | Full Time |
| **Posted** | Sep 28, 2026 |
## Description

Mirage is an AI video company focused on making creation dramatically easier. Our team tackles some of the hardest creative and technical challenges in generative media.

We get to rethink how people collaborate with AI that can actually *do* creative work with them—defining entirely new interaction paradigms for AI-native video tools. We make that possible by building multimodal agents that turn creative direction into edits, rendering engines that composite multiple layers of video and graphics, and generative video models trained from the ground up that create new media when needed.

All of this comes together in Captions, our creative workspace for generating, editing, and designing video. The technology behind Captions is now available more broadly: Tesseract gives any AI agent native video-editing capabilities, while developers can integrate our models into their own products through APIs.  

**Explore our work**  
[Captions](https://apps.apple.com/us/app/captions-ai-edits-your-video/id1541407007) — Our flagship creative workspace  
[Tesseract](https://x.com/trymirage/status/2102429594804429138) — Our professional video engine for AI agents  
[Research](https://mirage.app/research?utm_source=chatgpt.com) — The foundation models we build in-house  
[Updates](https://x.com/trymirage) — The latest from Mirage  
[TechCrunch](https://techcrunch.com/2026/03/24/mirage-raises-75m-to-continue-building-models-for-its-ai-video-editing-app-captions/), [Forbes](https://www.forbes.com/companies/captions/?list=ai50), [Fast Company](https://www.fastcompany.com/91270234/video-most-innovative-companies-fast-company-2025-youtube-roku-tubi-vimeo-captions-descript-cour-procreate-synthesia-beeble) — 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 language 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 language 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 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

**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 race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

*Please note benefits apply to full time employees only.*
## Skills

- Doctor of Philosophy (PhD)
- Structured Output (Llm)
- Planning
- Agentic Systems
- Machine Learning Model Fine-Tuning
- Editing
- Reinforcement Learning from Human Feedback (Rlhf)
- Large Language Models (Llm)
- Tool Calling
- Agentic Workflows
- Machine Learning
- Electrical Machines
- Multimodal AI
- Failure Mode and Effects Analysis (Fmea)
## Benefits

- Health Insurance
- Dental Insurance
- Vision Insurance
- Paid Time Off (Pto)
- 401(k) Plans
- Transportation
- Company Events
- Food and Meals

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/research-engineer-agentic-systems-at-mirage-01a0e89d-2fb3-7980-81e2-af88b88965de?utm_source=ai_markdown)

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