Research Scientist, Gemini Safety

OverviewSnapshotArtificial 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 RoleWe're looking for a versatile Research Scientist at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas. Our team focuses on advancing the safety and fairness behavior of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, and Search.Key responsibilitiesPost-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilitiesExploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyoneImprove Gemini's adversarial robustness, with a focus on high-stakes abuse risksDesign and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairnessDevelop and execute experimental plans to address known gaps, or construct entirely new capabilitiesDrive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scaleAbout YouIn order to set you up for success as a Research Scientist on the Gemini Safety team we look for the following skills and experience:PhD in Computer Science, a related field, or equivalent practical experienceSignificant LLM post-training experienceIn addition, the following would be an advantageExperience in Reward modeling and Reinforcement Learning for LLMs Instruction tuningExperience with Long-range Reinforcement learningExperience in areas such as Safety, Fairness and AlignmentTrack record of publications at NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI, UAIExperience taking research from concept to productExperience with collaborating or leading an applied research projectExperience with JAXAt Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.J-18808-Ljbffr