Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Algorithms
Deep Learning @ 6
JAX @ 3
NLP
PyTorch @ 3
Python @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIA, 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!
Responsibilities
- 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.
Requirements
- 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.
Benefits
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until July 5, 2026.