Applied Research Intern, NLP

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Intern
Posted: 73 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $204k

$138k most similar roles pay here $293k

This listing doesn't post a salary. Most similar roles pay $152,875–$254,750.

Based on 240 similar postings.

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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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Applied Research Intern, NLP

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As an Applied Research Intern, NLP - Fall 2026, you will join the Nemotron post-training team to develop and prototype new algorithms and models for AI model post-training. You will contribute directly to the next version of Nemotron models and work on open-source projects like NeMo-RL while publishing your internship project results. The role focuses on designing large deep learning systems specifically for natural language processing. To succeed, you must possess excellent Python programming skills and a strong knowledge of deep learning for natural language processing. You will utilize frameworks such as PyTorch or JAX to manage large sets of experiments and optimize the latest AI algorithms. This position requires candidates pursuing an MS or PhD in Computer Science or Electrical Engineering who can work independently to solve complex problems in the field of large-scale model training.

Skills

Python Deep Learning Natural Language Processing PyTorch JAX NeMo-RL Nemotron open-source Model Post-training

What you'll do

Develop and prototype new algorithms and models for AI model post-training.
Contribute to the development of next-generation 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 vertical markets.
Manage and organize large sets of experiments during the research process.
Publish results from internship projects in relevant venues.

What we're looking for

Pursuing a Master's or PhD degree in Computer Science or Electrical Engineering.
A strong publication record is preferred for Master's students.
Excellent Python programming skills.
Strong knowledge of Deep Learning for Natural Language Processing.
Experience with PyTorch or JAX frameworks.
Ability to work independently and manage large sets of experiments.
Attention to detail.
Contributions to open-source projects are preferred.

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