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Research Scientist, Multimodal Generative AI (Image/Video)

Google DeepMind is a leading AI research company focusing on building general-purpose learning algorithms. They are seeking a Research Scientist specialized in multimodal generative AI to develop state-of-the-art methods in image and video generation, working collaboratively within an interdisciplinary team committed to ethical AI advancement.

Skills

  • Proven expertise in deep learning research and development, particularly generative AI focused on image synthesis.
  • Strong programming skills in Python and deep learning frameworks such as Jax, TensorFlow, or PyTorch.
  • Experience with diffusion models and autoregressive generative models.
  • Strong publication record in top machine learning and computer vision conferences.

Responsibilities

  • Design, implement, and rigorously evaluate deep learning algorithms for multimodal generative AI with an emphasis on image synthesis.
  • Report and present research findings clearly both internally and externally.
  • Drive individual research initiatives and collaborate with the team to meet ambitious goals.
  • Collaborate with Ethics and Governance teams to ensure ethical development of AI technologies.

Education

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.

Benefits

  • Competitive salary ranging from $188,000 to $262,000 annually plus bonus and equity.
  • Comprehensive benefits package.
  • Opportunity to work in an interdisciplinary, ethical, and cutting-edge AI research environment.
To read the complete job description, please click on the ‘Apply’ button
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CEO of DeepMind
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Demis Hassabis
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Average salary estimate

$225000 / YEARLY (est.)
min
max
$188000K
$262000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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193 jobs
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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$188,000/yr - $262,000/yr
EMPLOYMENT TYPE
Full-time, unknown
DATE POSTED
July 9, 2025

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