Research Scientist, Video Generation

Mirage•New York, NY

6d•Onsite

About The Position

Mirage is seeking a Research Scientist to advance the frontier of multimodal video generation. You’ll work on novel modeling approaches, training objectives, and scaling strategies for large-scale video models, contributing directly to systems used by millions of creators. You’ll focus on pushing generation quality, controllability, and realism—especially in facial expression, audio-to-video synchronization, human motion, expression, and storytelling—while validating ideas through real-world product impact.

Requirements

MS/PhD in ML, CS, or related field
Strong publication record (NeurIPS, ICML, ICLR, etc. or equivalent work)
Deep expertise in generative modeling (diffusion, autoregressive architectures, etc.)
Deep understanding of transformers and modern multimodal systems
Experience with large-scale training and empirical research, and optimizing models for real-time inference efficiency
Strong experience working with audio representations and audio-visual datasets

Responsibilities

Develop novel approaches to video and multimodal generative modeling
Design new training objectives, loss functions, and evaluation methods optimizing for highly compute-efficient, low-latency generation
Explore temporal modeling, controllability, and multimodal alignment
Conduct empirical studies to understand scaling behavior and model performance
Drive rapid experimentation across architectures and training strategies
Analyze model behavior and identify opportunities for improvement
Translate research insights into measurable product improvements