Staff Research Scientist (Diffusion)

Staff Research Scientist (Audio Generation) Remote | Text-to-Audio | Ex-DeepMind Team We’re working with a well-funded generative AI company building an interactive audio platform for both consumers and commercial partners. The founding research team were lead contributors on the most prominant audio generation projects at Google DeepMind. They have signed partnerships in place. This role sits right at the centre of their core research: pre-training diffusion-based transformer models for high-fidelity audio generation. What you’ll work on Designing and training large-scale diffusion transformer models for audio Pushing the frontier of controllable, high-quality audio generation Owning pre-training strategy: data, objectives, architectures, and scaling Translating research ideas into models that power real interactive products Collaborating closely with research, infra, and product to shape the platform What they’re looking for Contribution to some of the most prominent diffusion projects (audio is a strong plus) Strong research background in generative models (diffusion, transformers, or both) Experience pre-training large models from scratch Deep understanding of sequence or signal modelling Comfortable debating papers, assumptions, and trade-offs at depth Opinionated, curious, and excited about shipping research into the real world Why this is compelling Frontier research with clear product pull Audio generation is the core, not a side project Serious funding, elite peers, and real autonomy Opportunity to define how next-gen audio models are trained and used #J-18808-Ljbffr Fabrik Talent