Research Scientist, Multiagent Systems for Social Impact

We are seeking a highly motivated and innovative Research Scientist to join our team in Bengaluru, focused on advancing the state-of-the-art in multiagent systems for social impact. You will conduct cutting-edge research on multiagent systems, including agents based on large language models (LLMs), focusing on acceleration of social impact. This role offers a unique opportunity to contribute to fundamental research in AI while collaborating with a world-class team at Google DeepMind and seeing your work translated into real-world applications. If you are passionate about shaping the future of social impact through AI and are eager to make a significant impact in the rapidly evolving landscape of multiagent systems and AI agents, we encourage you to apply. As a Research Scientist at Google DeepMind, you will: Key responsibilities: Conduct cutting-edge research: Develop novel algorithms, models, and techniques for multiagent systems, pushing the boundaries of AI research in areas such as multiagent reinforcement learning, bandit algorithms, diffusion models. Your research will directly contribute to advancing Google's multiagent capabilities with a particular focus on social impact. Develop and evaluate models: Design, implement, and evaluate use of AI agents for social impact. Explore techniques like prompt engineering, few-shot learning, post-training techniques to improve model performance and robustness in diverse real-world scenarios. Your research will be focused on building multiagent systems that can reason, plan, and perform meta-level reasoning to build systems for social impact. Collaborate with a world-class team: Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment. Share your research findings through publications in top-tier conferences and journals, while also contributing to the development of impactful products. Contribute to real-world impact: See your research contribute to real-world social impact with applications across various domains, including healthcare, conservation, and more, potentially influencing future Google products and services. Stay at the forefront of AI research: Continuously explore emerging trends and new research directions in multiagent systems and AI agents. Participate in international conferences and workshops to share your work and learn from others in the field.

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