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NVIDIA

Senior Research Scientist, Post-Training LLM and DLM

Reposted 20 Hours Ago
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In-Office or Remote
2 Locations
160K-299K Annually
Senior level
In-Office or Remote
2 Locations
160K-299K Annually
Senior level
The role involves designing and implementing post-training algorithms for LLMs and DLMs, improving training pipelines, collaborating with researchers, and demonstrating engineering practices.
The summary above was generated by AI

We are now looking for a Senior Research Scientist passionate about Large Language Model (LLM) and Diffusion Language Model (DLM) post-training and system optimization. Are you excited to shape the future of large-scale generative AI? NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale. Our team is dedicated to advancing post-training algorithms, building efficient large-scale systems, and developing evaluation frameworks to ensure reliability and scalability. Join us to work with world-class researchers and engineers on building the next generation of AI.

What you will be doing:

  • Designing and implementing post-training algorithms LLMs and DLMs.

  • Driving efficiency and scalability improvements across training pipelines and serving systems

  • Collaborating with researchers to translate cutting-edge ideas into production-ready implementations.

  • Exploring new paradigms for evaluation.

  • Demonstrating strong engineering practices, and contributing to open-source communities.

What we need to see:

  • PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas.

  • 2+ years of experiences in machine learning, systems, distributed computing, or large-scale model training.

  • Proficiency in Python with hands-on experience in frameworks such as PyTorch.

  • Solid background in computer science fundamentals: algorithms, data structures, parallel/distributed computing, and systems programming.

  • Proven ability to collaborate across research and engineering teams in multifaceted environments.

Ways to stand out from the crowd:

  • Expertise in post-training LLMs with novel algorithmic/data pipelines

  • Experience developing andscaling large distributed systems for deep learning.

  • Contributions to open-source LLM systems or large-scale AI infrastructure.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD for Level 3, and 184,000 USD - 299,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 8, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

Python
PyTorch
HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

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