Research Engineer, Generative Video
About this role
Captions seeks a full-time Research Engineer, Generative Video to build and scale the machine learning systems powering its artificial intelligence video generation models in Union Square, New York City. This full-time position suits experienced engineers eager to tackle foundational challenges in generative media and shape the future of creative expression.
Role Overview
Captions is hiring an ML Engineer to work on novel modeling approaches, training objectives, scaling strategies, and inference optimization. This position bridges research and systems engineering to make advanced video generation models faster, highly efficient, and capable of real-time, ultra-low latency generation. The role requires working in-person at the New York City headquarters located in Union Square.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Captions operates Mirage, an AI-native video platform that leverages natural language to intelligently orchestrate editing and production. The interdisciplinary team addresses complex creative and technical challenges in generative media. Backed by prominent investors and entrepreneurs like Index Ventures, Kleiner Perkins, Sequoia Capital, and Andreessen Horowitz, the company has received recognition from TechCrunch, Forbes AI 50, and Fast Company.
How to Apply
Interested candidates should visit the official Captions careers page to submit their application for this position.
Skills and tech stack
Questions candidates ask
What is the location of the Research Engineer, Generative Video role?
The position is located in-person at the Captions headquarters in Union Square, New York City.
What is the salary range for this position?
The salary ranges from $175,000 to $300,000 per year.
What experience level is required?
Applicants must have 2 or more years of professional industry experience, along with a degree in Computer Science, Machine Learning, or a related field.
What technical skills are necessary for the job?
Candidates need strong experience in deep learning systems, PyTorch, CUDA, Triton, and distributed training methods like FSDP.
What benefits are provided for full-time employees?
Full-time employees receive medical, dental, and vision plans, a 401K with employer match, commuter benefits, wellness perks, catered lunches, a nightly dinner stipend, a Grubhub subscription, monthly events, offsites, and generous paid time off.