Nvidia Research Scientist Fundamental LLM 

United States, Texas 

831264586

What you’ll be doing:

As a Research Scientist, your role will encompass the following responsibilities:

• Research and propose alternative model architectures that enhance the performance and efficiency of language or multimodal models.

• Investigate novel methods for knowledge distillation and data synthesis for language or multimodal models

• Explore novel methods for test-time inference algorithms

• Analyze multiple novel methods for enhancing factuality, reasoning, long-context, or agentic capabilities of language or multimodal models.

• Research:Undertake research, design, and implementation of novel methods aimed at enhancing the capability of large and small language models.

• Publication:Contribute to the academic community by publishing original research findings in reputable conferences and journals.

• Collaboration:Collaborate closely with fellow team members, as well as interdisciplinary teams within the company, to foster a collaborative research environment.

• Mentorship: Provide mentorship and guidance to interns and students within the research team.

• Technology Transfer:Collaborate with product groups within the university to facilitate the transfer of research technology into practical applications.

What we need to see:

• Completing or recently completed a PhD in CS or equivalent research experiences in researchlabs with strong publication records at top-tier conferences.

• A strong foundation in the theory and practice of NLP anddeep learning.

• Proficiency in all aspects of large language models fromtraining to alignment to inference to evaluation is expected.

• Alternatively, proficiency in all aspects of large multimodalmodels or diffusion models is expected.

• A track record of outstanding research achievements andcontributions.

• Excellent communication skills to effectively convey researchfindings and collaborate with peers.