Research Scientist, Gemini Audio, UK

2 weeks ago


London, Greater London, United Kingdom Google DeepMind Full time £90,000 - £120,000 per year

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
Our team focuses on improving Gemini's audio and speech capabilities. In particular, we work on

  • Modeling innovations to improve Gemini's audio performance.
  • Improving the training data for Gemini models.
  • Create new evaluations to quantify the performance of Gemini models in the audio space.
  • Adding new audio capabilities to Gemini Audio, both through modelling changes and data changes.
  • Maintaining and improving the Gemini Audio infrastructure.

The Role
The responsibilities of someone hired in this role are to:

  • Design, implement and deliver improvements to Gemini to improve its audio capabilities.
  • Work with the broader Gemini team to understand the interaction between audio with the rest of the modalities in Gemini.
  • Improve the efficiency of the Gemini model when processing audio.
  • Improve the training and evaluation infrastructure of the Gemini model, with specific focus on audio.
  • Design experiments and deploy proof-of-concept demos in the areas described above

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:

  • PhD in Computer Science, Machine Learning, a related technical field or equivalent practical experience.
  • Experience in Machine Learning, speech and general audio processing.
  • Experience in Large Language Models
  • Programming experience in Python/C++
  • Research Publications at leading conferences/journals.

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.

Application Deadline: 31st October



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