Research Scientist, Reasoning And Artificial General Intelligence, Deepmind - Singapore

Product area Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Job description In this role, you will join a team of research scientists working on humanity's critical path to AGI. You will focus on reasoning, Reinforcement Learning (RL) and Deep Think to not only improve Gemini but also drive significant breakthroughs for science and humanity, an incredible opportunity to work at the frontier of AI from Singapore. As a part of the Gemini core team, you will work on RL (for pre-training and reasoning), frontier-level math/code and push the bleeding edge of AI. As a part of this team, you will work tightly coupled with the Gemini core teams in Mountain View, alongside incredible talent density, positioned to make a significant impact on humanity, science and Google in general. You will also help build on the Gemini Deep Think breakthrough that achieved the gold medal standard at the International Math Olympiad (IMO). Qualifications Job responsibilities Conduct critical research in RL and reasoning by proposing new RL algorithms, scaling RL or inference time compute for improving Gemini. Serve as Gemini launch captains, acting as launch/model captains and training models to directly contribute to Gemini landings. Anticipate where the next game changers will come from, staying mindful of upcoming research breakthroughs, and build research agendas based on new paradigms to execute on them. Execute on promising research agendas by working as a team. Collaborate with other Gemini core teams, mostly based in the US and UK. Minimum qualifications PhD in Computer Science, a related field, or equivalent practical experience. 4 years of experience with research agendas across multiple teams or projects. Experience conducting research in Reinforcement Learning (RL) or reasoning. Experience with Large Language Models (LLM). One or more scientific publication submission(s) for conferences, journals, or public repositories. Preferred qualifications 2 years of experience in coding and leading multiple research efforts and influencing research direction. 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. A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.