Applied Research Intern, NLP

Nvidia

Confirmed live yesterday High trust

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
118 days ago
Freshness
Confirmed live yesterday

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Similar $185k
$97k $277k
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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Applied Research Intern, NLP

Applied Research Intern, NLP - Fall 2026 will join the Nemotron post-training team to work on the next generation of Nemotron models and open-source software like NeMo-RL. The intern will develop and prototype new algorithms and models for AI model post-training while contributing to large deep learning systems for natural language processing. Key responsibilities include identifying and optimizing the latest AI algorithms to expand into new verticals and publishing internship project results. Candidates must possess excellent Python programming skills and strong knowledge in Deep Learning for Natural Language Processing. Proficiency with PyTorch or JAX is required to manage large sets of experiments and work independently. This role focuses on the technical challenge of post-training deep learning models and contributing to significant open-source software projects.

What you'll do

  • Develop and prototype new algorithms and models for AI model post-training.
  • Contribute to the development of the next version of Nemotron models.
  • Contribute to open-source projects such as NeMo-RL.
  • Design large deep learning systems for natural language processing.
  • Identify and optimize the latest AI algorithms for new verticals.
  • Manage and analyze large sets of experiments.
  • Publish the results of your internship project.

What we're looking for

  • Pursuing a MS or PhD degree in Computer Science or Electrical Engineering.
  • Masters students with a good publication record will be considered.
  • Excellent Python programming skills.
  • Strong knowledge in Deep Learning for Natural Language Processing.
  • Experience with PyTorch or JAX.
  • Ability to work independently.
  • Attention to details and ability to manage large sets of experiments.
  • Contribution to open-source projects (preferred).

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