Senior Research Scientist, Alternative Computational Paradigms

Google is seeking a Senior Research Scientist to join their team focusing on alternative computational paradigms in AI. This role is part of Google Research, which addresses challenges that define current and future technology. The position involves conducting fundamental research in exploring alternative AI paradigms beyond current trends, particularly in discovering learning algorithms for experimental, energy-efficient hardware paradigms.

The ideal candidate will have a PhD in Computer Science or related field, with a strong publication record in machine learning or computational neuroscience. They should have experience leading research agendas and software development skills. The role offers the opportunity to work on cutting-edge AI research, combining both theoretical and practical approaches, with inspiration drawn from neuroscience while targeting artificial hardware applications.

As a Research Scientist, you'll be responsible for setting up large-scale tests, deploying innovative ideas, and managing research projects that could potentially influence the direction of both hardware and algorithms for AI. The role involves using both hand-design and automated discovery methods, including Automated ML. You'll also actively contribute to the research community by publishing findings and collaborating with research programs at partner universities and technical institutes worldwide.

Google Research provides an environment that encourages innovation and collaboration, with the opportunity to impact technology used by billions of people. The company maintains a strong commitment to sharing research and tools to advance the field, regularly publishing in academic journals and releasing projects as open source. The position offers competitive compensation, including a base salary range of $161,000-$239,000, plus bonus, equity, and comprehensive benefits.

The role is available in several prestigious locations including Cambridge, MA; Mountain View, CA; New York, NY; and Seattle, WA. Google provides a respectful and welcoming environment, promoting diversity and equal opportunity, making it an ideal place for researchers looking to make significant contributions to the field of AI while working with cutting-edge technology and brilliant colleagues.