Natural Language Processing Research Scientist

Google is a global technology company building next-generation intelligent systems through research and innovation.
$136,000 - $200,000
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI

Description For Natural Language Processing Research Scientist

Google Research is seeking a Natural Language Processing Research Scientist to join their team focused on advancing Large Language Models (LLMs) like Gemini. This role combines cutting-edge research in NLP with practical applications in major Google products including Search AI, Gemini Chat, Cloud Vertex AI, and YouTube.

The position requires a PhD in Computer Science with expertise in NLP or Generative AI, along with demonstrated research experience through publications. You'll work on improving the factuality and grounding capabilities of LLMs, conducting experiments, and developing new modeling approaches. The role offers the opportunity to contribute to fundamental research while seeing your work deployed in products used by millions.

As part of Google Research, you'll collaborate with teams across Google and the broader research community, publishing your findings and advancing the field. The work environment encourages innovation while maintaining the flexibility to adapt to fast-paced business needs. You'll have access to Google's vast computational resources and data, working alongside world-class researchers and engineers.

The compensation package is competitive, ranging from $136,000 to $200,000 base salary, plus bonus, equity, and comprehensive benefits. Multiple location options are available including Mountain View, New York, Seattle, and San Francisco, allowing you to choose your preferred working location while being part of Google's global research community.

This is an ideal role for someone passionate about NLP research who wants to make a real-world impact through their work. You'll have the freedom to pursue research interests while contributing to products that shape the future of AI technology. Google's commitment to diversity, equal opportunity, and creating a culture of belonging makes it an attractive workplace for researchers from all backgrounds.

Last updated 3 months ago

Responsibilities For Natural Language Processing Research Scientist

  • Author research papers to share and generate impact of research results across the team and in the research community
  • 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 with some guidance
  • Contribute to conducting experiments based on the research question
  • Perform research for improving Large Language Model (LLM) factuality and grounding capabilities of LLMs
  • Collaborate with other research teams to improve LLM grounding and factuality

Requirements For Natural Language Processing Research Scientist

Python
JavaScript
Java
  • PhD degree in Computer Science, with specification in Natural Language Processing, Generative AI, or related fields
  • One or more scientific publication submission(s) for conferences, journals, or public repositories
  • Experience coding in any one of these following languages: Python, JavaScript, R, Java, or C++
  • Experience in factuality, grounding or evaluation of modern Large Language Models (LLM)

Benefits For Natural Language Processing Research Scientist

Medical Insurance
Dental Insurance
Vision Insurance
Equity
401k
  • Comprehensive medical, dental, and vision insurance
  • Equity compensation
  • 401k benefits
  • Bonus compensation

Interested in this job?

Jobs Related To Google Natural Language Processing Research Scientist

Research Scientist, Multilingual Large Language Models

Research Scientist position at Google focusing on developing and improving multilingual Large Language Models and AI technologies.

Research Scientist, Market Algorithms, Google Research

Research Scientist position at Google Research focusing on market algorithms, combining microeconomics, ML, and algorithm design to develop efficient marketplaces.

Research Scientist, Google Research Australia

Research Scientist position at Google Research Australia, focusing on machine learning and computer science research with opportunities to publish and implement innovative solutions.

Software Developer III, AI/ML, Google Cloud AI

Software Developer III position at Google Cloud AI, focusing on machine learning infrastructure and AI research with opportunities to impact billions of users.

Field Solution Architect II, AI Infrastructure, South, Google Cloud

Enterprise AI Infrastructure Field Solution Architect position at Google Cloud, focusing on AI/ML accelerator deployment and customer solutions.