Rj Skerry-Ryan
principal engineer • gemini audio / astra • generative modeling research • streaming models / infrastructure
- Role
- Principal Software Engineer at Google DeepMind
- Location
- Mountain View, CA, US
- LinkedIn followers
- 500 followers
Experience
Principal Software Engineer
Oct 2024 — Present · Mountain View, CA, US
Multimodal AI Research lead in the Foundational Research unit.Key responsibilities:* Realtime audiovisual dialogue and full duplex multimodal LLMs.* Audio representation learning and synthesis.* Gemini and Astra core team.* Streaming neural networks and serving infrastructure for streaming models (including Gemini).Recent launches I contributed to:* Realtime dialogue and native audio in Astra, Gemini Live API, Gemini Live, NotebookLM.* Gemini 1.5, 2.0, 2.5* Veo 3 (pre-training speech data)Research interests:* Full duplex audiovisual dialogue systems.* Latent representations of language in signals (video, audio).* Audio representation learning for LLMs.* Streaming generative models (e.g. diffusion, autoregressive models, flows, VAEs, GANs)Publications and code:* https://google.github.io/tacotron/* https://github.com/google/sequence-layers
Education
Massachusetts Institute of Technology
MEng, Computer Science
2009 — 2010
Massachusetts Institute of Technology
SB, Computer Science
2005 — 2009
Skills
- Image Analysis
- Machine Learning
- Open Source
- Concurrent Programming
- Rust
- Node.js
- Subversion
- Distributed Systems
- C++
- Qt
- Postgresql
- React
- Git
- Scheme
- Django
- X86 Assembly
- Parallel Programming
- Software Engineering
- Natural Language Processing
- Python
- Algorithms
- Artificial Intelligence
- Opengl
- Computer Science
- Java
- Ruby
- Clojure
- Information Retrieval
- Haskell
- Hadoop
- Digital Signal Processing
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