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About the position
As a Natural Language Processing Research Scientist at Google, you will engage in cutting-edge research focused on improving the grounding and factuality of Large Language Models (LLMs). This role involves setting up large-scale tests, managing deadlines, and applying the latest theories to develop innovative products and technologies. You will also contribute to the research community by publishing findings and collaborating with academic institutions. Your work will directly impact prominent Google products, enhancing their capabilities in natural language processing and generative AI.
Responsibilities
- Author research papers to 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.
- Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
- 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
- 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).
Nice-to-haves
- 2 years of coding experience in Python, JavaScript, R, Java, or C++.
- 1 year of experience owning and initiating research agendas.
- Recent publications at conferences focused on factuality, grounding or evaluation of modern Large Language Models.
Benefits
- Health insurance
- 401k
- Paid holidays
- Flexible scheduling
- Professional development
- Tuition reimbursement
