Research Scientist, Machine Learning and Cognition

As a Research Scientist at Google, you'll be part of Google Research, which is building the next generation of intelligent systems for all Google products. 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. Your work will span various areas of computer science, including machine learning, data mining, natural language processing, and more.

You'll actively contribute to the wider research community by sharing and publishing your findings, collaborating with research programs at partner universities and technical institutes worldwide. The role involves conducting interdisciplinary research at the intersection of cognitive science and AI/ML, partnering with researchers in machine learning, philosophy, and social sciences to explore cutting-edge societal questions around machine cognition, consciousness, and multi-agent systems.

Key responsibilities include:

1. Authoring research papers to share and generate impact of research results.
2. Defining data structures, frameworks, designs, and evaluation metrics for research solutions.
3. Identifying new research areas and developing long-term research strategies.
4. Conducting interdisciplinary research in cognitive science and AI/ML.
5. Collaborating on societal questions related to machine cognition and consciousness.

This role requires a PhD in Computer Science or a related field, experience with interdisciplinary research, and scientific publication submissions. Preferred qualifications include coding experience, experience in owning research agendas, multidisciplinary academic work, publications in venues like CHI, FAccT, and AIES, and experience in software development and machine learning.

Google offers an inclusive work environment, committed to equal opportunity and building a diverse workforce. They provide accommodations for applicants with needs and follow a comprehensive hiring process detailed in their EEO Policy and "How we hire" resources.