Audio-to-Audio AI Research Scientist

Google

New York (NY)

Hybrid

USD 207,000 - 300,000

Full time

14 days+
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Job summary

Google DeepMind seeks an Audio to Audio Research Scientist to lead development of audio-first dialog systems and scalable evaluation datasets. The role emphasizes applying cutting-edge AI/ML methods to open-ended conversational tasks within a world-class research environment.

As a Research Scientist, you will publish findings, collaborate with universities, and deploy ideas across real-world products, with an emphasis on safety, scalability and impact.

Qualifications

  • PhD in CS/EE or related field or equivalent practical experience.
  • Experience in AI/ML.
  • Experience with LLMs, NLP, or Generative AI.
  • Experience in applied research setting.
  • Experience with ML models, training methods, or evaluation datasets.

Responsibilities

  • Develop audio-first models capable of orchestrating and planning complex dialogs, including leveraging external tools like search when necessary.
  • Leverage new sources of data (real and synthetic) to empower new real-time dialog capabilities.
  • Work with infra teams to design models suitable for open-mic conversations that are fluid and have low latency.
  • Create comprehensive datasets and benchmarks to improve and measure audio-to-audio (A2A) model performance on conversationality.

Skills

PhD/Advanced degree
AI/ML experience
LLMs / NLP / Generative AI
Applied research experience
ML models, training methods

Education

PhD in CS/EE or related field

Job description

Google DeepMind seeks an Audio to Audio Research Scientist to lead development of audio-first dialog systems and scalable evaluation datasets. The role emphasizes applying cutting-edge AI/ML methods to open-ended conversational tasks within a world-class research environment.

As a Research Scientist, you will publish findings, collaborate with universities, and deploy ideas across real-world products, with an emphasis on safety, scalability and impact.

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