Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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.
Our special interdisciplinary team combines the best techniques from deep learning reinforcement learning and systems neuroscience to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made a number of high profile breakthroughs towards building artificial general intelligence for medicine and we have all the ingredients in place to make further significant progress over the coming years to real world impact
Were part of a broader dedicated scientific community committed to solving intelligence and ensuring our technology is used for widespread public benefit and advancing medicine and healthcare for all.
Weve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We dont set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
Design and craft beautiful and engaging multimodal front-end experiences for the real-world scaled deployment of conversational medical AI systems both for patients and doctors. Youll work with a group of research scientists and engineers on a mission-driven team with high agency in a fast-paced environment.
Be a master of your craft in front-end engineering and an adaptable engineer who is excited and capable to also contribute hands-on throughout the stack and in back-end components of the system in service of our mission. Collaborate with researchers and engineers to build scalable infrastructure for deployments of conversational medical AI systems respecting all aspects of domain-specific compliance.
Software Engineers come from a diverse set of backgrounds sometimes with degrees in Computer Science and sometimes with extensive experience with real problems or both.
In order to set you up for success as a Software Engineer at Google DeepMind we look for the following skills and experience:
In addition the following would be an advantage:
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.
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.