At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

We’re looking for someone who is passionate about:

• Building elegant infrastructure solutions for accelerating research that builds on top of large models
• Working across research and deployment and deeply understanding needs across the whole pipeline
• Working directly with researchers on the next generation of AI development and the ambiguous engineering problems it introduces

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.

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.

• 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

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

Application deadline: 1st November 2024