Senior Research Scientist

3 Months ago • 8 Years + • Artificial Intelligence

Job Summary

Job Description

NVIDIA's Conversational AI research team seeks a Senior Research Scientist passionate about large generative models. Responsibilities include developing new deep learning algorithms for efficient LLM inference, designing advanced large language model architectures, adapting foundation AI models to downstream tasks (math, code reasoning), contributing to the Nemo framework, and collaborating with product and hardware teams. The ideal candidate possesses a PhD or M.Sc. in Computer Science/Electrical Engineering, 8+ years of deep learning research experience, strong programming skills (Python, PyTorch), and a publication record in leading conferences/journals.
Must have:
  • PhD/M.Sc. in CS/EE
  • 8+ years deep learning experience
  • NLP/Speech processing knowledge
  • Python & PyTorch expertise
  • Strong publication record
Good to have:
  • Strong C++ skills
  • Systems software engineering knowledge
  • Open source contributions

Job Details

We are looking for Senior Research Scientists passionate about large generative models!

NVIDIA is searching for world-class researchers in deep learning and natural language processing (NLP) to join our Conversational AI research team. Our team is pushing the boundaries of generative AI by building state-of-the-art large language models (LLM). We work on new neural architectures and new algorithms to accelerate LLM inference. If you are passionate about the latest research and technologies revolutionizing generative AI and want to explore new paradigms for applied foundation models , our team will be a great fit for you. After building prototypes that demonstrate the promise of your research, you will collaborate with product teams to apply your ideas into industry-leading real-world applications.

What you will be doing:

  • Work on new deep learning algorithms and techniques for efficient LLM inference 

  • Develop new architectures for advanced large language models

  • Adapt foundation AI models to downstream tasks such as math and code reasoning.

  • Contribute these new models to Nemo framework

  • Work closely with product and hardware architecture teams to integrate your research and developments into products.

What we need to see:

  • M.Sc. or PhD in  Computer Science/ Electrical Engineering 

  • 8+ Years of extensive machine learning / deep learning research experience.

  • Solid knowledge of application areas such as natural language processing and speech processing.

  • Excellent programming skills in some rapid prototyping environments such as Python; 

  • Expertise with PyTorch.deep learning framework

  • A track record of research excellence demonstrated in publications at leading conferences and journals.

Ways to stand out from the crowd:

  • Strong C++ programming skills.

  • Systems software engineering knowledge and expertise in optimizing software for computational performance.

  • Contribution to open source software projects.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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