What are the responsibilities and job description for the Research Scientist, Audio position at Google DeepMind?
Snapshot
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
About Us
Members of the team are a group of researchers with core contributions into the Gemini Audio pillar. Specifically, the team works on audio and audio-visual understanding and generation tasks using large language models. Research includes, but is not limited to, better acoustic representations and tokenizers, better generation modeling, and audio and audio-visual open-ended tasks such as dialog, TTS, question-answering and dubbing.
The Role
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:
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
About Us
Members of the team are a group of researchers with core contributions into the Gemini Audio pillar. Specifically, the team works on audio and audio-visual understanding and generation tasks using large language models. Research includes, but is not limited to, better acoustic representations and tokenizers, better generation modeling, and audio and audio-visual open-ended tasks such as dialog, TTS, question-answering and dubbing.
The Role
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.
- A proven track record of research and publications in some of the following areas: audio generation, video generation, LLMs
- A real passion for AI!
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.