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

Captions

Mirage Studio

Our Technology

AI Research @ Mirage

Mirage Model Announcement

Seeing Voices (white-paper)

Press Coverage

TechCrunch

Lenny’s Podcast

Forbes AI 50

Fast Company

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**

Software Engineer

We don’t use hierarchical titles or levels internally, but are currently hiring engineers who have operated at senior or staff+ scope. As a small, collaborative team, our engineers are trusted with a high-degree of ownership and agency.

Engineering at Mirage isn’t narrowly defined: we work across three archetypes, and most of us span more than one.

Product Engineering

• Ship end‑to‑end product surfaces for creative and commercial workflows.

• Understand the capabilities and limitations of SOTA AI models and how to best leverage them in products.

• Instrument, A/B, and iterate rapidly with production data.

• Talk to users.

Platform and Infrastructure

• Design and operate our core platform: (i.e. 3rd party providers, storage, billing, observability, security, API).

• Set technical direction for various product and platform features.

• Improve developer experience so the whole team ships faster.

• Build tools and integrations for non-engineering teams across the company to ensure they are set up to excel.

Applied AI

• Bridge research to production across all modalities (video, audio, image, text).

• Build tools for the research team: evals, dataset curation.

• Blend our research models with external models to prototype new product experiences.

What Makes You a Great Fit

• A track record of shipping high‑impact systems and/or products in production.

• Exceptional problem solving fundamentals and ability to learn.

• Excellent engineering taste combined with a strong sense of practicality and time-management.

• Able to operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end.

Even better if...

• You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is going.

• You are grounded, collaborative, and willing to do whatever it takes to help the team win.