Research Scientist, Reasoning, DeepMind
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Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Minimum qualifications:
- PhD in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience leading a research agenda.
- Experience conducting research in Reinforcement Learning (RL) or reasoning.
- Experience with Large Language Models (LLM).
- Experience in AI research labs.
- One or more scientific publication submission(s) for conferences, journals, or public repositories as first author.
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.
- Excellent problem-solving, analytical, and communication skills.
- A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.
- Award-winning paper first author on target domains.
About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.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 varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Propose new Reinforcement Learning (RL) algorithms, scaling RL or inference time compute for improving Gemini, improve model capability upper bound with RL, innovation on agentic RL.
- Conduct critical research in AI auto research and self-improvement.
- Anticipate where the next major research breakthroughs will come from, and build research agendas around new paradigms.
- Execute, as a team, on the most promising research agendas.
- Communicate research findings clearly through plots, writeups, and paper-ready narratives, while contributing to a team culture of first-principles thinking, high standards, and constructive feedback.
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