Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. 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(Seeing Voices, technical-white-paper)
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)
Note to applicants: We review every application carefully. Please apply through the official posting only and refrain from reaching out to employees directly, as it won’t impact your candidacy.
We’re hiring exceptional new grad engineers to join Mirage across product engineering, backend / platform engineering, and applied AI teams. You’ll have the opportunity to work closely with a small, highly collaborative team that’s building at the frontier of generative media and agentic systems.
We prioritize hiring uniquely talented, entrepreneurial, and high-agency engineers first—because engineering at Mirage isn’t narrowly defined. We work across different archetypes, and most of us span more than one, giving you the opportunity to explore and choose your path from the following areas:
Backend / Platform Engineering
Design and build the systems, APIs, and infrastructure that power our products
Solve challenges in distributed systems, scaling, and performance
Integrate and operate large AI models in production
Build core platform pieces: storage, billing, observability, security
Product Engineering (iOS or Web Product)
Ship end-to-end product experiences for creative workflows
Build highly polished, performant user interfaces (web or native mobile)
Push the boundaries of video, graphics, and AI-powered creation tools
Instrument, A/B test, and iterate quickly with real user data
Applied AI Engineering
Build and ship AI-powered product experiences end-to-end
Work with state-of-the-art models across video, audio, image, and text
Design systems for context, reasoning, and intelligent behavior
Build evals, datasets, and tooling for improving model quality
Evidence of exceptional ability: prestigious or highly selective internships, significant personal projects (apps, systems, open source, etc.), startup or founder experience (even in college)
Strong computer science fundamentals (algorithms, data-structures, etc.)
Degree in Computer Science or a closely related field (top programs preferred)
You are deeply interested in AI, and actively use AI coding tools
You have strong product and engineering taste, and care deeply about craft, speed, and quality.
You are grounded, collaborative, and will do whatever it takes to help the team win.
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.
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