Audio to Audio Research Scientist, DeepMind

• 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.

Minimum qualifications:

• PhD degree in Computer Science, Electrical Engineering, or Computer Engineering, a related field, or equivalent practical experience.
• Experience in artificial intelligence or machine learning.
• Experience with large language models, NLP, or Generative AI.
• Experience in an applied research setting.
• Experience working with machine learning (ML) models, training methodologies, or evaluation datasets.

Preferred qualifications:

• Experience with Generative Audio Modeling, Multimodal modeling, On-device AI Implementation or Fine tuning for LLMs.
• Experience in NLP, LLMs or Generative AI.
• A strong publication record in conferences or journals in the field of communications or signal processing.

• PhD degree in Computer Science, Electrical Engineering, or Computer Engineering, a related field, or equivalent practical experience.
• Experience in artificial intelligence or machine learning.
• Experience with large language models, NLP, or Generative AI.
• Experience in an applied research setting.
• Experience working with machine learning (ML) models, training methodologies, or evaluation datasets.