Research Scientist at DeepMind

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Large Language Models, Information Retrieval, Data Representations, Content Understanding, Synthetic Data, Pre-training, Supervised Fine-tuning, Reinforcement Learning, Retrieval Augmented Models, Research Publications, Algorithmic Architecture, Artificial General Intelligence, Real-world Impact, Modeling Techniques, Benchmark Development

Industry

Research Services

Description

Snapshot Join our team in Mountain View, CA, as a Research Scientist. You will play a vital role in pushing the boundaries of generative AI and large language models. Our primary focus is to address a range of cutting-edge foundational and applied research challenges at the interface of Generative AI and information retrieval systems, aiming to improve the factuality, safety, and trustworthiness of frontier LLM systems. The team focuses on data, modeling, and applications. Join us in shaping the future of generative AI and contributing to groundbreaking solutions that drive real-world impact. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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 Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. This role will involve conducting cutting-edge foundational and applied research related to: data: advance the state-of-the-art in data representations via advancements in content understanding, synthetic data, etc. modeling: develop transformative modeling advances in pre-training, supervised fine-tuning, reinforcement learning, and retrieval augmented models applications: deploy groundbreaking solutions that drive real-world impact across Google’s products and services Key responsibilities: Conduct novel research related to generative AI systems and their interaction with information retrieval. Deploy groundbreaking solutions to drive real-world impact. Engage with the external research community About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:: PhD in a technical field or equivalent practical experience. Track record of research publications related to generative AI, large language models, and/or information retrieval. In addition, the following would be an advantage: Practical experience developing and deploying novel generative AI benchmarks and modeling techniques that solve real-world problems

Responsibilities

Conduct novel research related to generative AI systems and their interaction with information retrieval. Deploy groundbreaking solutions to drive real-world impact.