Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
  
• 2 years of experience leading a research agenda.
  
• Experience with generative AI (LLMs, diffusion models, etc.), development workflows, and use cases.
  
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:

• 2 years of experience in coding.
  
• 1 year of experience leading research efforts and influencing other researchers.
  
• Experience in applied Machine Learning (e.g., computer vision, transformers, generative AI, LLM).
  

About the job

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.

We use computational photography and machine learning to produce new kinds of pictures, videos, and photographic experiences. Our goal is to make pictures/videos with very high quality that are also engaging, fun, or magical images that astonish people. Our technologies typically combine classical vision and graphics with deep learning. We then optimize our algorithms to run fast on mobile devices, or efficiently on servers, where hardware capabilities are limited. We work with several product teams, including the Google Camera App team and Google Photos, and collaborate extensively with other research teams.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

• Author research papers to share and generate impact of research results across functions and in the research community.
  
• Help in growing research business by sharing research trends and best practices within the community.
  
• Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
  
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.