Google DeepMind · Singapore
Research Scientist, Multimodal Generative AI, Google DeepMind
8/8/2025
Description
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Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on culturally-adapted image and video synthesis.
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Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
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Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
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Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
Qualifications
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
- 2+ years of relevant experience in deep learning research and development, particularly in generative AI and related to image and video synthesis. This includes diffusion models and autoregressive generative models.
- Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.
- Demonstrated experience in large-scale training of multimodal generative models.
- A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.