4791 Ai Jobs

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Health AI is an impact-driven research team whose mission is to catalyze the adoption of human-centered AI in healthcare and medicine. The team sees AI as transformational in these fields and a necessary component in improving quality and consistency of health outcomes, realizing personalized medicine. Health AI does research partnering with other Google product teams or external organizations to develop, assess, and deploy AI-powered breakthrough solutions that redefine the relationship between tech and health. The team manages foundational research and product work that improves the lives of users.

• Work in a diverse team who are passionate about improving healthcare.
  
• Manage data analysis/curation, developing the necessary infrastructure to do research, performing experiments, and detailed evaluations from a research or product perspective, collaborate with onsite clinicians, product managers, and other research/engineering teams in Google Research, and partner teams in Search, YouTube, and Gemini.
  
• Develop and improve AI models on challenging health-related tasks, such as grounding and medical factuality, automated clinical evaluations, video/audio understanding, multi-turn discussions on consumer health topics, and more.
  
• Build and improve AI research infrastructure by ingesting new datasets, collecting and analyzing high-quality data, and maintaining training and evaluation infrastructure.
  
• Perform research on health-related problems, with potential to publish externally.