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.
Algorithms @ 3
GPU @ 3
Machine Learning @ 3
Mathematics @ 3
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
NVIDIA's technology is at the heart of the AI revolution, powering applications such as self-driving cars, robotics, and voice-powered intelligent assistants. Join a diverse applied research team focused on building the next generation of Conversational AI systems.
We work on new language models for code and mathematics reasoning. Our team developed the math reasoning model which won the latest Kaggle AI MO competition. We also design algorithms to accelerate training large models on NVIDIA's GPU cloud. These models are released as part of NeMo - an open-source toolkit for Conversational AI used widely for customer service and voice assistants. Collaboration with research and product teams, and leading academic machine learning labs is integral to our work.
Responsibilities
- Develop new deep learning models for language, code, and mathematics reasoning
- Design large-scale training algorithms
- Open-source models using NeMo conversational AI frameworks
- Mentor interns
- Publish research papers at top AI conferences
- Collaborate with universities and research teams
Requirements
- PhD in Computer Science or Electrical Engineering with specialization in Deep Learning
- 2+ years of research experience in deep learning theory and applications
- Excellent Python programming skills
- Experience with PyTorch
- Strong publication record in Deep Learning
Ways to Stand Out
- Contributions to open-source projects
- Reviewer experience for top speech conferences
Benefits
NVIDIA offers highly competitive salaries, an extensive benefits package, and a work environment promoting diversity, inclusion, and flexibility. We are an equal opportunity employer committed to fostering a supportive and empowering workplace for all.