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Senior Research Scientist, Natural Language Processing

Senior Research Scientist, Natural Language Processing

1 Hour ago • 2 Years + • Research & Development

About the job

Summary

As a Senior Research Scientist in Natural Language Processing (NLP) at Google, you'll lead research initiatives, develop cutting-edge technologies, and publish findings. Responsibilities include designing large-scale tests, deploying promising ideas, managing deadlines, and applying the latest theories to improve products and processes. You'll focus on evaluating the consistency and factuality of Large Language Models (LLMs), improving pretraining methods, collaborating with internal and external teams, and contributing to the wider research community through publications. The role involves developing technology for evaluating LLM outputs, improving factuality in pretraining, and collaborating to deliver new production use cases.

5 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

prototyping

data-structures

innovation

game-texts

Must have:

PhD in Computer Science or related field
2+ years leading research agenda
NLP research experience
Coding, algorithm, and data structure expertise
Scientific publication submissions

Good to have:

2+ years coding experience
Experience leading research efforts and influencing others
Experience with modern LLMs and generative text models

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Minimum qualifications:

PhD degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience leading a research agenda.
Experience in Natural Language Processing (NLP) research.
Experience with coding, algorithms and data structures.
One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:

2 years of experience in coding.
1 year of experience leading research efforts and influencing other researchers.
Experience with modern LLMs and generative text models.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you will 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. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you will also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

Author research papers to share and generate impact of research results across function and in the research community.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
Lead research and develop technology for evaluating the consistency, grounding and attribution of generative Large Language Model (LLM) outputs, as well as technology for improving factuality at pretraining, including rerieval augmented generation.
Collaborate with other research teams to expand output verification technology.
Collaborate with Google first-party partner teams to deliver new use cases to production.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.