Job description
Research Scientist $150,000 to $250,000 + Equity + Benefits + PTO
Remote or on-site - United States (New York or San Francisco)
Are you a Research Scientist with a background in generative AI models, looking to join a fast-growing start-up and work with cutting-edge technology in the AI video space?
This is an incredible opportunity to join a start-up with 8-figure funding, where you'll collaborate with world-class researchers and engineers to develop ground-breaking, lifelike avatars through advanced AI-driven content generation.
My client is a seed-stage company developing an AI-powered platform that transforms text, images, and voice inputs into dynamic, customizable video content. Their innovative technology is reshaping how users create and interact with digital characters across industries.
As a Research Scientist, you will focus on training state-of-the-art generative models for video, image, text, and audio. You will work with massive datasets, implement novel conditioning techniques for improved model control, and oversee distributed training across large-scale GPU clusters.
This is a fantastic opportunity to become part of a well-funded, high-growth company, working at the forefront of AI innovation while benefiting from clear progression paths into senior and leadership roles.
The Role:
Join a dynamic start-up with 8-figure seed funding
Develop and train generative AI models for video, image, text, and audio
Implement advanced conditioning methods to enhance model controllability and flexibility
Manage distributed training on GPU clusters using tools like Ray and PyTorch Distributed
Collaborate with top researchers and engineers to push the boundaries of AI capabilities
The Person:
Experience with Python and deep learning frameworks like PyTorch or Jax
Proven track record in training generative models, particularly for video and image generation
Experience with distributed training across large GPU clusters
Strong foundation in conditioning techniques for model controllability
Published research in top-tier conferences or journals
