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About the role
- Research Scientist specializing in NLP and deep learning at NVIDIA. Propose innovative model architectures and publish research findings while collaborating with diverse teams.
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.
- Undertake research, design, and implementation of novel methods aimed at enhancing the capability of large and small language models.
- Contribute to the academic community by publishing original research findings in reputable conferences and journals.
- Collaborate closely with fellow team members, as well as interdisciplinary teams within the company, to foster a collaborative research environment.
- Provide mentorship and guidance to interns and students within the research team.
- Collaborate with product groups within the university to facilitate the transfer of research technology into practical applications.
Requirements
- Completing or recently completed a PhD in CS or equivalent research experiences in research labs with strong publication records at top-tier conferences.
- A strong foundation in the theory and practice of NLP and deep learning.
- Proficiency in all aspects of large language models from training to alignment to inference to evaluation is expected.
- Alternatively, proficiency in all aspects of large multimodal models or diffusion models is expected.
- A track record of outstanding research achievements and contributions.
- Excellent communication skills to effectively convey research findings and collaborate with peers.
Benefits
- equity
- benefits
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