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.Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities • Contribute to Geo applications by building algorithmic solutions that assist people everywhere as they navigate, explore, and get things done in the world. • Convert research ideas into product features that deliver real-world impact for users. • Author research papers to share and generate impact of research results across the team and in the research community. • Define the data structure, framework, design, and evaluation metrics for developing and implementing research solutions with minimal guidance, while identifying timelines and securing the necessary resources. • Contribute to experiments based on the research question by developing research prototypes or running simulations to further assess research impact, finalize hypotheses, and refine the research methodology, with limited oversight. Minimum qualifications: • PhD in Computer Science, a related field, or equivalent practical experience. • Experience coding in one or more of the following languages: Java, C++, or Python. • One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: • 2 years of coding experience. • 1 year of experience owning and initiating research agendas. • 1 year of experience with Machine Learning or AI Algorithms.