Member of Technical Staff, Large Generative Models
MirageAbout the role
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.
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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**
About the role:
Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research.
We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech.
Key Responsibilities:
Research & Architecture Development:
Design and implement novel architectures for large-scale video and multimodal diffusion models
Develop new approaches to multimodal fusion, temporal modeling, and video control
Research temporal video editing techniques and controllable generation
Research and validate scaling laws for video generation models
Create new loss functions and training objectives for improved generation quality
Drive rapid experimentation with model architectures and training strategies
Validate research directly through product deployment and user feedback
Model Training & Optimization:
Train and optimize models at massive scale (10s-100s of billions of parameters)
Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LM
Design and implement model surgery techniques (pruning, distillation, quantization)
Create new approaches to memory optimization and training efficiency
Research techniques for improving training stability at scale
Conduct systematic empirical studie
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