Applied Research Intern, NLP - Fall 2026

NVIDIA

Santa Clara (CA)

On-site

USD 27,552 - 97,809

Full time

14 days+
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Benefits offered by this job

Internship benefits

Job summary

NVIDIA is seeking top Applied Research Interns in Santa Clara, California to develop new algorithms for AI model post-training. As part of the Nemotron post-training team, you will contribute to open-source projects like NeMo-RL and publish internship project results.

Ideal candidates are pursuing a MS or PhD in Computer Science or Electrical Engineering with excellent Python skills and strong knowledge in Deep Learning. The internship offers a competitive hourly rate ranging from $20 to $71.

Qualifications

  • Excellent Python programming skills.
  • Strong knowledge in Deep Learning for Natural Language Processing.
  • Ability to manage large sets of experiments.

Responsibilities

  • Develop and prototype new algorithms and models for AI model post-training.
  • Contribute to open-source projects such as NeMo-RL.
  • Publish your internship project results.

Skills

Python programming
Deep Learning for Natural Language Processing
Experience with PyTorch or JAX
Attention to detail
Ability to work independently

Education

Pursuing a MS or PhD degree in Computer Science or Electrical Engineering
Masters students with good publication record will be considered

Job description

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

We are now recruiting top Applied Research Interns to join Nemotron post-training team. Together, we will work on next generation of Nemotron post-training and open-source software such as NeMo-RL.

Do you love the challenge of training deep learning models? Do you love the challenge of identifying and optimizing the latest AI algorithms to help us grow into new and more pervasive verticals? If so, then join our team and help us design large deep learning systems for natural language processing!

What you'll be doing:
  • Develop and prototype new algorithms and models for AI model post-training.
  • Contribute to open-source projects such as NeMo-RL and contribute to the next version of Nemotron models.
  • Publish your internship project results.
What we need to see:
  • Pursuing a MS or PhD degree in Computer Science or Electrical Engineering
  • Masters students with good publication record will be considered too
  • 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
Ways to stand out from the crowd:
  • Contribution to open-source projects. Please include links to your OSS contributions!

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for internship benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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