About the role
We are seeking hard-working individuals with experience in machine learning research and full stack development, who are interested in creating and enhancing platforms to help research flourish! You’ll join an inspiring and collaborative environment, working on ground-breaking technology with potentially extraordinary impact.
Our team works on the boundary of research, infrastructure, and product. We build tools to enable rapid research and prototyping, and help integrate it smoothly into production infrastructure.
Key responsibilities:
Developing complex capabilities and writing ergonomic APIs for others to leverage them.
Building libraries that effectively balance flexibility, usability, and performance.
Working at multiple levels of the stack to enable feature development
Partnering with research teams to understand their needs, design solutions, and onboard them to those solutions
Working with a diverse group of collaborators and stakeholders to develop infrastructure that spans multiple teams
About You
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
Strong full-stack software engineering fundamentals, including fluency in Python
Experience developing complex LLM-powered applications
Deep understanding of the large model training and deployment lifecycle
Ability to deal set engineering directions in a fast-paced environment with ambiguous requirements and timelines
An appetite for exploration and experimentation
An eye for usability and a user-centered development approach
In addition, the following would be an advantage:
Experience working on production AI infrastructure
Experience working on systems with multimodal or live data streams
Experience working with and contributing to open-source AI tools
About the company
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.
