Research Scientist, Sound Team

DeepMind

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profile Job Location:

Mountain View, CA - USA

profile Monthly Salary: $ 141000 - 202000
Posted on: 12 hours ago
Vacancies: 1 Vacancy

Job Summary

Snapshot

Members of the Sound Team are a group of researchers working on audio understanding editing and generation. We are part of Frontier AI the unit responsible for building and scaling the next generation of our core models. Research includes but is not limited to sound understanding joint audio-video generation audio-visual editing and long-context modeling. Work with us to create a future where speech music and general audio are central to AI understanding generation and modification.

About Us

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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.

The Role

Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architectures towards the end goal of solving and building Artificial General Intelligence. We seek individuals who are passionate about audio and developing novel architectures to push the state of this role you will make key contributions advancing research in sound understanding joint audio-video generation and audio editing.

Key responsibilities:

  • Data: Unlocking new audio 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.

About You

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

Minimum Qualifications

  • PhD in Computer Science or a related Machine Learning field.
  • Audio understanding and/or generation experience.
  • A proven track record of research and publications in some of the following areas: audio generation video generation LLMs.

In addition the following would be an advantage:

Preferred Qualifications

  • Experience working with LLMs.
  • A real passion for Audio and Sound!

The US base salary range for this full-time position is between $141000 - $202000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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.


Required Experience:

IC

SnapshotMembers of the Sound Team are a group of researchers working on audio understanding editing and generation. We are part of Frontier AI the unit responsible for building and scaling the next generation of our core models. Research includes but is not limited to sound understanding joint audio...
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Key Skills

  • Laboratory Experience
  • Machine Learning
  • Python
  • AI
  • Bioinformatics
  • C/C++
  • R
  • Biochemistry
  • Research Experience
  • Natural Language Processing
  • Deep Learning
  • Molecular Biology

About Company

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Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.

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