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Deepmind

Research Scientist, Reasoning & AGI, Google DeepMind

Reposted 16 Days Ago
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In-Office
Singapore
Expert/Leader
In-Office
Singapore
Expert/Leader
Research Scientists will develop new RL algorithms, train models for Gemini, and execute cutting-edge research on reasoning in AI.
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Job Description

We are looking for research scientists to work with us on humanity's critical path to AGI. We work on reasoning, RL and Deep Think to not only improve Gemini but also make significant breakthroughs for science and humanity. This is an amazing opportunity to be at the frontier of AI from Singapore. 

The Gemini core team will work on RL (for pre-training and reasoning), frontier-level math/code and push the bleeding edge of AI. This team is tightly coupled with the Gemini core teams in Mountain View, has incredible talent density, and is well positioned to make a significant impact on humanity, science and Google in general. The team was also behind the Gemini Deep Think breakthrough that achieved the gold medal standard at the International Math Olympiad (IMO).

Job responsibilities

  • Conduct critical research in RL and reasoning: Propose new RL algorithms, scaling RL and/or inference time compute for improving Gemini.
  • Serve as Gemini launch captains: Serve as launch/model captains and train models to directly contribute to Gemini landings.
  • Innovate and leapfrog: Anticipate where the next game changers will come from and be always mindful about the next big research breakthroughs. Build research agendas based on new paradigms and execute on them.
  • Execute on research agenda: Work as a team to execute on promising research agendas.
  • Collaborate with Gemini core teams: Collaborate with other Gemini core teams that are mostly based in the US and UK.

Minimum qualifications

  • PhD degree in Computer Science, a related STEM field, or equivalent practical experience.
  • Experience in software development with one or more programming languages (e.g. Python).
  • Experience with Large Language Models (LLM).
  • Experience conducting research in Reinforcement Learning (RL) or reasoning.

Preferred qualifications

  • A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.
  • Experience driving research projects from conception to completion.
  • Ability to work in a fast-paced, dynamic, and collaborative environment.
  • Excellent problem-solving, analytical, and communication skills.

Top Skills

Large Language Models
Python
Reinforcement Learning
TensorFlow

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