Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 6 Algorithms @ 4 Data Structures @ 4 Distributed Systems @ 4 Machine Learning @ 4 LLM @ 4 PyTorch @ 6Details
We are looking for a Senior Research Scientist passionate about Large Language Model (LLM) and Diffusion Language Model (DLM) post-training and system optimization. Join NVIDIA to advance post-training algorithms, build efficient large-scale systems, and develop evaluation frameworks to ensure reliability and scalability. Work with researchers and engineers on building the next generation of generative AI.
Responsibilities
- Design and implement post-training algorithms for LLMs and DLMs.
- Drive efficiency and scalability improvements across training pipelines and serving systems.
- Collaborate with researchers to translate cutting-edge ideas into production-ready implementations.
- Explore new paradigms for evaluation and develop evaluation frameworks.
- Demonstrate strong engineering practices and contribute to open-source communities.
Requirements
- PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas.
- 2+ years of experience 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
- Expertise in post-training LLMs with novel algorithmic or data pipelines.
- Experience developing and scaling large distributed systems for deep learning.
- Contributions to open-source LLM systems or large-scale AI infrastructure.
Compensation & Benefits
- Base salary range (Level 3): 160,000 USD - 258,750 USD.
- Base salary range (Level 4): 184,000 USD - 299,000 USD.
- You will also be eligible for equity and benefits.
Additional information
- Applications for this job will be accepted at least until September 20, 2025.
- NVIDIA is an equal opportunity employer and values diversity in current and future employees.