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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Cambridge, MA, USA; New York, NY, USA.
Minimum qualifications: - 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).
About the jobAs a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
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.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - 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.
