Research Scientist, Graph Neural Networks

Google is a global technology leader known for innovative research and product development.
$189,000 - $284,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS

Description For Research Scientist, Graph Neural Networks

Google is seeking a Research Scientist specializing in Graph Neural Networks to join their team. This role involves conducting fundamental research and contributing to product development, with a focus on graph-structured data and its integration with foundation models and Generative AI. The ideal candidate will have a PhD in Computer Science or a related field, with 4 years of experience in research across multiple teams or projects. Key responsibilities include developing novel methods to improve model performance, running experiments, documenting research results, and working on both Python and C++ development. The role offers the opportunity to impact technology used by billions of people daily and contribute to the wider research community through publications and open-source projects. Google provides a competitive salary range of $189,000-$284,000 plus bonus, equity, and benefits, and is committed to fostering a diverse and inclusive work environment.

Last updated 13 days ago

Responsibilities For Research Scientist, Graph Neural Networks

  • Integrate graph-structured data with foundation models and Generative AI
  • Develop novel methods to improve model performance on challenging real world problem settings and working with product teams to get these models out to users
  • Run experiments and document research results for academic conferences
  • Make improvements to the Graph Mining library as needed and develop new large scale data mining pipelines
  • Work on a combination of Python and C++ development

Requirements For Research Scientist, Graph Neural Networks

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

Benefits For Research Scientist, Graph Neural Networks

Equity
Medical Insurance
  • Equity
  • Medical Insurance

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