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Snapshot

The Canopy Team conducts foundational and applied research aimed at improving the trustworthiness of Google's most capable AI models and most important products. To achieve this, the team adopts a "full stack" research strategy that encompasses content understanding (data), novel pre-training and post-training modeling strategies (recipes and architectures), and novel benchmarks (evaluation).

Join our team as a Research Scientist, based in either Mountain View, CA or New York, NY.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

This role will involve conducting cutting-edge foundational and applied research related to:

  • data:  advance the state-of-the-art in data representations via advancements in content understanding, synthetic data, etc.
  • modeling: develop transformative modeling advances in pre-training, supervised fine-tuning, reinforcement learning, and retrieval augmented models
  • applications: deploy groundbreaking solutions that drive real-world impact across Google’s products and services

Key responsibilities:

  • Conduct novel research related to trustworthy AI systems, with a focus on data, modeling, and applications.
  • Deploy groundbreaking solutions to drive real-world impact.
  • Engage with the external research community by publishing, attending conferences, giving external talks, etc.

About You

In order to set you up for success as a Research Scientist at Google DeepMind,  we look for the following skills and experience:

  • PhD in a technical field or equivalent practical experience.
  • Track record of research publications related to generative AI and/or large language models.

In addition, the following would be an advantage: 

  • Practical experience developing and deploying novel generative AI algorithms that solve real-world problems

 

The US base salary range for this full-time position is between $161000 - $245000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

 

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