NVIDIA seeks a senior researcher to join its cutting-edge Large Language Model research team, focusing on advancing post-training methods, synthetic data generation, and reasoning algorithms. This role involves exploring innovative knowledge acquisition techniques and learning paradigms that enhance language model capabilities through self-reflection and multi-modal interactions. The ideal candidate will contribute to the publication of original research while collaborating with internal teams and mentoring interns. They will also engage in technology transfer with product groups and present findings at conferences. Essential qualifications include a PhD, extensive research experience, strong publication records, expertise in deep learning and NLP, proficiency in Python and PyTorch, and hands-on experience with large-scale model training.
Skills
Python
PyTorch
LLM training
alignment
evaluation
deep learning
NLP
data preparation
model parallelization
tensor parallelism
pipeline parallelism
multi-modality research
knowledge acquisition techniques
learning paradigms
self-reflection algorithms
synthetic data generation
reasoning and inference algorithms
What you'll do
Explore new techniques to enhance language models' knowledge acquisition and decoding algorithms.
Develop innovative learning paradigms that integrate self-reflection and targeted knowledge enhancement into training.
Enable multi-modal learning capabilities, including physical commonsense knowledge from real-world interactions.
Publish original research in top machine learning and natural language processing venues.
Mentor interns and contribute to the development of future researchers.
Transfer technology to product groups to ensure practical application of research findings.
What we're looking for
PhD in Computer Science or equivalent research experience in AI, ML, NLP, CV.
Strong publication record with awards in top machine learning and NLP venues.
Expertise in deep learning theory and practice, especially in natural language processing.
Experience in training, aligning, and evaluating large language models.
Proficient programming skills in Python and PyTorch for AI research.
Hands-on experience with large-scale model training and data preparation.
Excellent communication skills for collaboration, mentoring, and presenting.
Market check
Salary context
This
$224,000–$356,500
range sits above
96%
of similar postings on FindRole.
Peer median band
$164,800–$242,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$164,332–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
Mountain View, California, US41 days ago
$173,500–$234,500
Python
scikit-learn
R
SQL
Hive
SparkSQL
Linux
data mining
clustering
classification
regression
decision trees
neural nets
support vector machines
anomaly detection
recommender systems
sequential pattern discovery
text mining
A/B testing
statistical analysis