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Staff Research Scientist, Natural Language Processing

Staff Research Scientist, Natural Language Processing

1 Hour ago • 4 Years + • Research & Development

About the job

Summary

Google is seeking a Staff Research Scientist in Natural Language Processing (NLP) to lead research and develop technology for evaluating the consistency, grounding, and attribution of Large Language Model (LLM) outputs. The role involves improving factuality in pre-training, including augmented generation. Collaboration with other research teams to expand output verification technology and with Google's partner teams to deliver new technology to production is crucial. The successful candidate will drive academic-quality research leading to conference publications. The position requires a PhD in Computer Science or a related field and 4+ years of experience in NLP research with a proven publication record. Experience with LLMs and generative text models is highly preferred. The role includes setting up large-scale tests, deploying ideas, managing deadlines and deliverables, and applying cutting-edge theories to develop new products and technologies.

3 skills required for this role

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prototyping

innovation

game-texts

Must have:

PhD in CS or related field
4+ years NLP research experience
Publications in conferences/journals
Lead research on LLM evaluation
Collaborate with other teams

Good to have:

PhD in NLP with 50+ h-index
2+ years leading research efforts
Experience with modern LLMs
Experience driving industry research

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Minimum qualifications:

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 Natural Language Processing (NLP) research.
One or more scientific publication submissions for conferences, journals, or public repositories.

Preferred qualifications:

PhD in NLP with a track record of 50 h-index or more.
2 years of experience in coding and leading multiple research efforts and influencing research direction.
Experience with modern LLMs and generative text models.
Experience in driving research in the industry.

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'll 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'll 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

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 augmented generation.
Collaborate with other research teams to expand output verification technology.
Collaborate with Google first-party partner teams to deliver new technology to production.
Drive academic-quality research that would result in conference publications

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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.