Senior Research Scientist, Gemini Omni, DeepMind
Google DeepMind - Mountain View, CA
Hiring: Senior Research Scientist, Gemini Omni, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-10 11:02:08 Target Skills & Keywords : AI, Computer Vision, Diffusion Models, LLM, Machine Learning, PyTorch, Reinforcement Learning, TensorFlow About the job Experience: •3 years of experience in development with JAX, PyTorch, or TensorFlow. •3 years of experience with machine learning and machine learning algorithms. •3 years of experience with Generative Artificial Intelligence (GenAI) techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). •2 years of experience leading a research agenda. •2 years of coding experience. Required Skills: •Learn more about benefits at Google . •Drive foundational research in next-generation generative modeling (e.g., autoregressive architectures, diffusion models) to pioneer breakthroughs across multimodal generation, including image, video, and audio synthesis. •Formulate novel scientific methodologies and conduct deep literature reviews to solve complex, open-ended AI challenges, exercising independent judgment to balance immediate project milestones with long-term frontier research. •Pioneer model optimization and efficient inference strategies to significantly reduce compute overhead, optimize latency, and scale large multimodal systems across high-performance infrastructure. •Advance post-training and capability scaling using reinforcement learning to enhance model alignment, reasoning, and multi-turn generation quality across modalities. Qualifications: •PhD in Computer Science, a related field, or equivalent practical experience. •We research and develop machine learning models for billions of Google users. •We are pushing the boundaries across multiple domains. Our global teams offer 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Compensation: •US: $174000 - $252000 (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!