Research Scientist, Gemini Vision, DeepMind

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

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.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

• Conduct original research in multimodal AI (Gemini), including vision-language models (VLMs), image understanding, OCR and document intelligence, spatial reasoning and embodied perception, image-text alignment and retrieval, agentic multimodal systems, scaling laws, and data infra, pipeline, training data attribution, and mixture optimization.
• Design, train, and evaluate large-scale transformer-based architectures for image and video understanding.
• Develop novel methods for multimodal pretraining, instruction tuning, alignment, and reinforcement learning.
• Collaborate with cross-functional teams to transition research ideas into production-grade Gemini capabilities.
• Contribute to research direction, experimental design, and scientific strategy within the Gemini organization.

Minimum qualifications:

• PhD degree, or equivalent practical experience.
• Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
• Experience in an applied research setting.
• Experience with large language models, NLP, or generative AI.

Preferred qualifications:

• Experience in large-scale training of multimodal foundation models.
• Experience in running AI/ML training workloads or inference workloads on Graphics Processing Unit (GPU) or Tensor Processing Unit (TPU).
• A proven track record of designing and implementing Agentic workflows and autonomous AI systems.