Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

In this role, responsibilities will include making key contributions into the latest research developed in the Gemini audio pillar, such as:

Key responsibilities

Data: Unlocking new audio to X capabilities within the model, both in pre-training and post-training.

Models: Improving quality of models for understanding and generation. This includes research to improve our tokenizers, better techniques for generation quality, and looking at joint audio and visual representations.

Evals: Better evaluation methods (human, auto raters, automated metrics) to measure quality of open-ended tasks.

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

PhD in Computer Science, Computer Vision, Speech Processing, or Machine Learning related field.

Experience working with LLMs.

Audio or video understanding and/or generation experience.

In addition, the following would be an advantage:

A proven track record of research and publications in some of the following areas: audio generation, video generation, LLMs

A real passion for AI!