We are excited to announce a new *HCI-AI group* at the Google Research India <https://www.blog.google/around-the-globe/google-asia/google-research-india-ai-lab-bangalore/> lab, Bangalore. We invite applications for full-time HCI researchers working at the intersection of HCI and AI/ML. Specifically, we are looking for those working in sub-fields of natural language processing, intelligent user interfaces, technology and global development, and data visualization. Being part of the HCI group at Google Research India provides an opportunity to do cutting-edge research on human-AI systems that aims to fundamentally amplify human capacity. Google researchers do fundamental, long-term research that is incorporated into large-scale, real-world systems that affect the lives of millions of people. Examples of HCI research from Google Research are the What-if Tool <https://pair-code.github.io/what-if-tool/>, Teachable Machines <https://teachablemachine.withgoogle.com/> and PAIR Guidebook <https://pair.withgoogle.com/> and examples of AI research are the BERT <https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html> model, Tensorflow <https://www.tensorflow.org/> and Federated Learning <https://ai.googleblog.com/2017/04/federated-learning-collaborative.html>, incorporated into several products. In addition to HCI, the India lab is also home to groups doing research on artificial intelligence (e.g., deep learning, AI applications for societal issues, natural language understanding, multi-agent systems), systems, computational social sciences, and more. India is home to a large and dynamic technology user base and presents unique opportunities for societal impact. Our India academic relations move forward the discipline of HCI, as well as other disciplines, through collaborations, fellowships and mentorship. Successful candidates for full-time roles will have a PhD. in HCI or related fields, a strong track record of scholarship in top-tier HCI venues, evidence of real-world impact, and an ability to successfully collaborate with multi-disciplinary teams. An understanding of or experience with AI/ML technology is a prerequisite. We also invite conversations on visiting faculty, pre-docs (exceptional Bachelor's or Master's), post-docs, and student projects. Pre-docs and Post-docs are 1- to 2-year gigs. Visiting faculty length varies from a few months to a year. Interested candidates should contact *Nithya Sambasivan at nithyasamba@google.com <nithyasamba@google.com>* with a CV and bio. We especially welcome members from under-represented Indian communities. -- Public Key: https://flowcrypt.com/pub/kheimerl@cs.washington.edu