Staff Research Scientist, Google Research

Google Google · Big Tech · New York, NY +1

Staff Research Scientist at Google Research focusing on fundamental research and innovation in AI/ML, contributing to the next generation of intelligent systems. The role involves developing new products, processes, and technologies, publishing research findings, and collaborating with the wider research community. Responsibilities include defining research agendas, designing experiments, and delivering research solutions.

What you'd actually do

  1. Author research papers to share and generate impact of research results across organization and in the research community.
  2. Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
  3. Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
  4. Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.
  5. Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

Skills

Required

  • PhD in Computer Science, a related field, or equivalent practical experience
  • 4 years of experience with research agendas across multiple teams or projects
  • One or more scientific publication submission(s) for conferences, journals, or public repositories

Nice to have

  • 2 years of experience in coding and leading multiple research efforts and influencing research direction

What the JD emphasized

  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 4 years of experience with research agendas across multiple teams or projects.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories.

Other signals

  • fundamental research
  • new product innovation
  • latest theories
  • real-world problems
  • machine (and deep) learning
  • data mining
  • natural language processing
  • core search
  • next generation of intelligent systems
  • latest computer science techniques
  • research strategy