Our client is an AI research lab building next-generation generative models and products that allow users to interact with pixels in real time. They are pushing the frontier of video and audio generative AI, from diffusion and other generative architectures through to fast deployment pipelines. Their proprietary infrastructure enables extremely fast training and inference at scale.
The company recently raised a $100M Series B and is backed by top-tier institutional investors. The Palo Alto lab is a hands-on, fast-iteration environment where world-class researchers and engineers work closely together to take ideas from conception to live product.
The role:
You will be a foundational part of the US research team, designing and training state-of-the-art generative models for video, building and optimising infrastructure for fast inference and rapid training at scale, and collaborating across research and engineering to ship interactive user experiences.
What you will do:
Design and train state-of-the-art generative models (diffusion, rectified flow, etc.) for video
Develop and optimise infrastructure for fast inference and rapid training at scale
Collaborate across research and engineering to prototype and ship interactive user experiences, from idea to live product
Contribute to the overall research agenda and help shape the future of human-pixel interaction
What you will need:
PhD in Computer Science, Electrical Engineering, or related field, or MSc with equivalent industry research experience
Strong hands-on background in training generative models (diffusion, rectified flow, or similar)
Proven ability to design and train state-of-the-art models
Demonstrated track record taking ideas from research through to production
Experience with multimodal (video/audio) data or real-time systems a strong plus
Tech stack: Generative AI, PyTorch, GPU-accelerated training, Diffusion Models, Rectified Flow, Real-time systems
Visa and relocation packages available for exceptional candidates.
For more information please reach out to [email protected]
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