Member of Technical Staff, Image Generation
MirageAbout the role
Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.
We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.
Our Products
Our Technology
Press Coverage
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, 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)
We do not work with third-party recruiting agencies, please do not contact us**
About the Role
Captions is seeking an exceptional Member of Technical Staff to advance the state‑of‑the‑art in large‑scale image generation models. You’ll conduct novel research on generative image models for people and storytelling, developing new training techniques and scaling models to billions of parameters and millions of users. As a key member of our AI team, you’ll work at the cutting edge of image generation systems that enable natural, expressive, and high‑fidelity outputs.
Our team has strong expertise in training large‑scale models with demonstrated research and product impact (see our recent whitepaper here for details of recent work). We’re especially excited to push the use of image synthesis for multimodal video generation, with a focus on photorealistic quality, professional-grade expressivity, and creative iteration. Our models power tools used by millions of creators, and we’re tackling fundamental challenges in how to generate compelling composition, lighting, and fine‑grained detail across diverse domains.
Key Responsibilities
Research & Architecture Development
Design and implement large‑scale image generation models (transformers, latent diffusion, flow matching, etc.).
Develop new approaches to multimodal conditioning and generation (e.g. audio and video) and controllability (editing, multi-frame consistency, script guidance, etc).
Research advanced image‑editing and -generation techniques such as content‑preserving edits, multi‑input conditioning, and reference‑based generation.
Establish and validate scaling laws for image diffusion models across resolution and parameter count.
Develop automated evaluation approaches for improved fidelity and consistency.
Drive rapid experimentation with model architectures, sampling strategies, and training strategies.
Validate research directly through product deployment and real user feedback.
Derive insights from data and recommend architectures and training practices that will make meaningful impacts on our products.
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