Hiring: Research Scientist, Gemini Horizon, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-16 11:02:07 Target Skills & Keywords : AI, LLM, Large Language Model, Machine Learning, NLP, Reinforcement Learning About the job Experience: •1 year experience with Generative AI, Large Language Models, natural language processing, or Agent-based systems. •1 year of experience working on modern large language model post-training (e.g., SFT, RLHF, DPO, PPO), model alignment, or core generative model development in an industry AI lab, research institute, or frontier AI organization. Required Skills: •Learn more about benefits at Google . •Improve Gemini with new Reinforcement Learning (RL) environments, evaluations, changes to the RL recipe, or ideas. •Explore domains where Gemini should be superhuman (e.g., security, hardware, performance engineering, scientific computing, or something we have not thought of) and build the evaluations that show the gap is real. •Invent new ways of manufacturing hard problems and the graders that make them verifiable. •Evaluate and train Gemini on your environments, read the trajectories to see what it is actually learning, and land what transfers into production. •Contribute to identifying and delivering breakthroughs for Gemini. Qualifications: •PhD degree in Computer Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience. •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. •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. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. •US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Compensation: •US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!