Captions is the leading video AI company, building the future of video creation. Over 10 million creators and businesses have used Captions to create videos for social media, marketing, sales, and more. We’re on a mission to serve the next billion.
We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You’ll join an early team and have an outsized impact on the product and the company’s culture.
We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
Check out our latest financing milestone and some other coverage:
The Information: 50 Most Promising Startups
Fast Company: Next Big Things in Tech
The New York Times: When A.I. Bridged a Language Gap, They Fell in Love
Business Insider: 34 most promising AI startups
Time: The Best Inventions of 2024

DOMAIN EXPERIENCE

• Exposure to diffusion models, multimodal video generation, or large-scale generative architectures.
• Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments.

ABOUT THE ROLE

Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide.