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.
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.
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 - $211000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about
benefits at Google.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 2 years of experience in software development, including designing and building full-stack web applications.
- Experience with general-purpose programming languages (e.g., Python, TypeScript, Java, or Go).
- Experience with software engineering, including data structures, algorithms, and testing.
- Ability to work with teams in different time zones, specifically Mountain View and London.
Preferred qualifications:
- Experience with front-end frameworks (e.g., Angular, React, or similar) for building intuitive interfaces.
- Experience with modern AI application development, including techniques like Retrieval-Augmented Generation (RAG), agentic workflows, function calling, structured decoding.
- Familiarity with Google or Google DeepMind internal development tools and infrastructure.
- Ability to work with a high degree of autonomy in a changing ambiguous environment and deliver impactful results.
- Track record of building and shipping high-quality software, from early-stage prototypes to maintained production systems.
- A product-oriented and full-stack mindset—driven by user needs, comfortable working across different parts of the stack, and attentive to good user experience.