Senior Research Scientist, Deep Learning Data

Google is a global technology company that maintains a portfolio of research projects and develops innovative products used by billions.
$161,000 - $239,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI

Description For Senior Research Scientist, Deep Learning Data

Google Research is seeking a Senior Research Scientist specializing in Deep Learning Data to join their team focused on building the most scalable and accessible graph library. This role combines fundamental research with practical applications, particularly in Gemini Data development. The position offers an opportunity to work on cutting-edge problems in machine learning, data mining, and graph algorithms, while contributing to technology used by billions.

The role involves developing new methods for dataset evaluation, running experiments with models, and creating comprehensive data evaluation pipelines. You'll be working directly on the Gemini Data infrastructure and graph mining library, making significant contributions to organizing data for Gemini and developing new datasets.

As a Research Scientist at Google, you'll have the freedom to pursue innovative ideas while working with state-of-the-art technology and collaborating with leading researchers worldwide. The position offers a competitive compensation package ranging from $161,000 to $239,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate should have a PhD in Computer Science or related field, with proven experience in Deep Learning or Graph Algorithms research. You'll need to demonstrate leadership in research agenda setting and have a track record of scientific publications. Experience with large data, ML systems, and programming skills in Python or C++ is highly valued.

This is an exceptional opportunity to impact the future of technology while working at one of the world's leading tech companies. You'll be part of a team that values innovation, collaboration, and the sharing of knowledge through publications and open-source contributions.

Last updated a month ago

Responsibilities For Senior Research Scientist, Deep Learning Data

  • Develop new methods for efficient dataset evaluation and curation
  • Run experiments with small scale models
  • Develop complete pipelines and a visualization toolkit for data evaluation
  • Integrate and adapt these tools in various applications
  • Contribute to the foundations of the Gemini Data infrastructure and graph mining library

Requirements For Senior Research Scientist, Deep Learning Data

Python
  • PhD degree in Computer Science, a related field, or equivalent practical experience
  • 2 years of experience leading a research agenda
  • Experience in research in Deep Learning or Graph Algorithms
  • One or more scientific publication submission(s) for conferences, journals, or public repositories

Benefits For Senior Research Scientist, Deep Learning Data

  • bonus
  • equity
  • benefits

Interested in this job?

Jobs Related To Google Senior Research Scientist, Deep Learning Data

Senior Research Scientist, Interactive Recommender Systems

Senior Research Scientist position at Google Research focusing on interactive recommender systems, machine learning, and AI, offering competitive compensation and benefits.

Staff Research Scientist, Google Cloud AI

Lead AI research scientist position at Google Cloud, focusing on advancing AI technology and its applications across industries while contributing to the research community.

Staff Software Developer, Generative AI, Gemini Code Assist

Lead the development of AI-powered developer tools at Google's Gemini Code Assist team, focusing on machine learning and generative AI applications.

Product Manager, AI/ML, Google Cloud

Lead AI/ML product management at Google Cloud, developing strategic vision for ML hardware stack and collaborating with teams like DeepMind and YouTube.

Senior Research Scientist, Multilingual NLP

Senior Research Scientist position at Google focusing on multilingual NLP and LLMs, requiring PhD and 7+ years of experience in machine learning and natural language processing.