We are working on bringing capabilities and experiences from both 1P Google Services (e.g. Maps, Youtube, Gmail, Calendar, etc.) as well as 3P services into Gemini – all in service of making Gemini the best LLM-supercharged universal assistant there is. Our team of full stack Machine Learning Engineers are responsible for improving the Tool Use platform, and horizontal model quality for all services that would like to integrate with GeminiApp, and building new agentic experiences powered by them. 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. In this role, you will work on bringing conversational, multimodal agentic experiences powered by 1P and 3P tools into Gemini and Gemini Live. This team focuses on horizontal model quality, and infrastructure for scaling to all APIs/MCPs out in the world. We are looking for highly skilled Applied ML software engineers with LLM expertise. You should have experience building products based around AI models and slotting new capabilities into an end-to-end production stack. This is a fast-paced role with aggressive deadlines, where you should be prepared to wear many hats and be ready to solve a wide range of exciting technical problems. We seek out individuals who thrive in ambiguity and have a shipping mindset, willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.