Principal Research Assistant

Work with Chief Scientist to gain translate AI/ML and HCI-related research for non-academic audiences both within engineering organizations and externally; gains deep understanding in one or more subareas of research (e.g., Object Recognition, Text Classification) and understands the corresponding literature and applicable research techniques. Engage with, research, collect and synthesize cutting-edge research and work on course topics within AI/ML, including: Generative AI models including LLMS, Reinforcement Learning from Human Feedback (RLHF), Responsible AI, AI in Productivity, HCI and the Future of Work, and AI and Society. Maintain an overview of relevant areas of research and seek out appropriate opportunities to develop further knowledge and networks, and keep team leadership up to date. Provide research and drafting support on non-academic publications and presentations for the Chief Scientist and Office of Applied Research; own the end-to-end creation of working papers, blogs, webpages and other content to translate and synthesize research. Communicate complex research themes in easy-to-consume content for a broad audience through vehicles like SharePoint sites, newsletters, and talk series; identify core audiences to target and engage with them in order to understand research themes more deeply. Ensure there are a diverse set of perspectives and balanced approach to the research-related findings presented to non-academic audiences, and champion both diverse and inclusive approaches to engaging with research in Experiences and Devices (E+D). Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 3+ years of experience managing cross-functional and/or cross-team projects. Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. 8+ years of experience managing cross-functional and/or cross-team projects. 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). Experience translating and communicating about research or applied research organizations working with academic and technical colleagues, particularly for non-academic or technical audiences. Knowledge and passion around AI/ML and HCI topics, with a demonstrated ability to engage with the current research and developments in key areas listed above. Experience communicating complex ideas to others, including executive leadership, in a clear, effective, and motivating manner that makes sense for their knowledge level. Experience writing white papers, creating power point presentations, and creating content for webpages like Sharepoint. Experience working closely with a technical or academic leader on their communications around technical or research-related topics. 1+ year(s) experience helping to create publications (e.g., patents, peer-reviewed academic papers).