At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.
Join our Deep Research team and revolutionize the way research is conducted. As a Software Engineer, you will harness the power of Gemini models to build the most advanced and reliable research agent on the market.
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.
Based on 590 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $200K/year, with most offers between $164K and $237K (10th–90th percentile: $131K–$272K).
This posting lists $174K–$253K, in line with the $200K market median.
See the full AI Engineering salary breakdown →