Research Scientist, Gemini Safety

DeepMind

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profile Job Location:

Mountain View, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Snapshot

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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 Gemini Safety team is accountable for the safety and fairness behavior of GDMs latest Gemini models. The role of the Research Scientist / Research Engineer will be to apply and develop data and algorithmic cutting edge solutions to advance GDMs latest user-facing models. The workstyle is fast paced and highly collaborative. The team has a strong culture of support dedication and collaboration.

About Us

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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

Were looking for a versatile Research Scientistat ease both with figuring out how to approach new research questions and the technical implementation of research team focuses on advancing the safety and fairness behavior of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App Cloud API and Search.

Key responsibilities:

  • Post-training / instruction tuning state of the art LLMs focusing on text-to-text image/video/audio-to-text modalities and agentic capabilities
  • Exploring data reasoning and algorithmic solutions to make sure Gemini Models are safe maximally helpful and work for everyone.
  • Improve Geminis adversarial robustness with a focus on high-stakes abuse risks.
  • Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.
  • Develop and execute experimental plans to address known gaps or construct entirely new capabilities
  • Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale

About You

In order to set you up for success as a Research Scientist on the Gemini Safety team we look for the following skills and experience:

  • PhD in Computer Science a related field or equivalent practical experience.
  • Significant LLM post-training experience

In addition the following would be an advantage:

  • Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
  • Experience with Long-range Reinforcement learning
  • Experience in areas such as Safety Fairness and Alignment
  • Track record of publications at NeurIPS ICLR ICML RL/DL EMNLP AAAI UAI
  • Experience taking research from concept to product
  • Experience with collaborating or leading an applied research project
  • Experience with JAX

At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.


Required Experience:

IC

SnapshotArtificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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 benefi...
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Key Skills

  • Laboratory Experience
  • Machine Learning
  • Python
  • AI
  • Bioinformatics
  • C/C++
  • R
  • Biochemistry
  • Research Experience
  • Natural Language Processing
  • Deep Learning
  • Molecular Biology

About Company

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Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.

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