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.

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

We’re 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. 

We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t 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. You’ll 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.

• Design, develop and implement high-quality, responsive and multimodal (text, audio, video) user interfaces for groundbreaking conversational AI experiences in healthcare, both with patients and doctors
• Implement efficient and reusable front-end systems that drive complex interactions in web applications and possibly mobile applications
• Collaborate with colleagues and possibly engage in full-stack development if required for engaging user experiences
• Partner closely with research, product, and design to bring new features and medical AI capabilities to real-world deployments
• Incorporate your passion for advancing human health and any previous knowledge or academic experience to join a team of hardworking individuals who openly collaborate with one another.

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:

• Experience designing and developing high-quality, engaging, and responsive front-end user interfaces
• Experience building and deploying web applications at scale using TypeScript, React, and other web technologies and similar frameworks
• Experience building mobile applications
• Experience developing and deploying front-end experiences for LLM-powered system
• Experience designing interfaces with real-time, multimodal (text, audio, video) interfaces for generative AI applications
• Proven ability to work independently as a product-driven engineer, solving for complex product specifications with minimal supervision

In addition, the following would be an advantage: 

• Experience in full-stack development using C++ and/or Python
• Experience working in research teams or in the context of scientific research
• Experience with compliant enterprise product development and data management in production

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.