Research Scientist, Sound Understanding, DeepMind

About the role

Research Scientist on the Sound team within Google DeepMind Frontier AI, focused on audio understanding, transformation, and generation. The role involves advancing research in sound understanding, joint audio-video generation, and audio editing, contributing to the next generation of generative AI technology.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Learn more about benefits at Google.
• Improve quality of models for audio understanding and generation, including research on architectures, representations, training losses and paradigms, and test-time techniques for improved generation quality and efficiency.
• Unlock new audio capabilities in foundational models, both in pre-training and post-training data pipelines.
• Develop better evaluation methods (human evaluation, auto raters, automated metrics) to measure quality of open-ended audio tasks.
• Publish research at venues and contribute to Google DeepMind products.
• Collaborate across teams to advance research in sound understanding, joint audio-video generation, and audio editing.

Requirements

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• Experience with text, image, video, or audio generation.
• Experience in Artificial Intelligence or Machine Learning.
• Experience with Generative AI.

Preferred qualifications

• PhD degree in Artificial Intelligence, Machine Learning, or a related technical field.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
• Experience developing, launching products, or technologies with Large Language Models (LLMs).

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits