What are the responsibilities and job description for the Applied Scientist position at TANOSHII?
We're working with an SF start-up backed by Silicon Valley's finest, cooking up the next big thing in video creation. Their secret sauce? A dash of Stanford brains, world-class researchers, and a war chest deep enough to make some plays.
Their focus lies within audio image text ? video markets for communicative content (e.g. automating a marketing campaign, UGC) as well as building a differentiated product experience vs current market incumbents. They may be using similar technical approaches with innovations in speed, duration, and audio conditioning but expose additional functionality to build a better product... especially given their foundational model.
We like people who have used the following techniques
- VAE compression
- Model quantization
- Model sharding
- Writing cuda / triton kernels
- Pyramidal Attention Broadcast / AdaCache
- performance on large >
500 GPU cluster
Big points for people who have worked on gen-3 turbo or luma VAE compression, accelerating the inference of video diffusion models (ideally to real-time), distributed training experience on large diffusion models, PyTorch lightning, ray, etc.
Remote for truly exceptional candidates.
