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$170,000–$241,906.
Based on 240 similar postings.
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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
1623 open roles
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Listed pay typically runs
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across 1110 roles with salary data.
The Senior Applied Research Scientist joins a team building foundation models for life sciences to redefine drug discovery. In this hands-on role, you will design and train large-scale machine learning models at the intersection of genomics, proteomics, and chemistry. Daily responsibilities include conducting experimental designs to probe model limitations, mentoring team members, leading research initiatives, and collaborating with hardware and software teams to improve platforms for large-scale applications. You must possess deep expertise in deep learning for sequences, diffusion models, LLMs, and unsupervised learning. Required technical skills include Python, C++, and experience in bioinformatics, chemical engineering, or structural biology. The work focuses on solving complex problems in molecular dynamics, docking, and protein folding by creating models that natively speak the language of cells and chemistry.
Python
PyTorch
Generative AI
Diffusion Models
VLM
Distributed Training
Multi-modality
Deep Learning
Data Curation
Captioning Pipelines
Image-to-Image
Mid-training
Pre-training
Post-training
Deep Learning
Large Language Models
Python
PyTorch
TensorFlow
C++
C#
Java
C
NLP
Distributed Training
Machine Learning
Predictive Analytics
Search
Document Understanding
High Throughput Systems
Generative AI
Large Language Models
Machine Learning
Natural Language Processing
Deep Learning
Synthetic Data Generation
Responsible AI
Inference Pipelines
Experimentation Frameworks
Privacy-Preserving ML
Computer Vision
Recommender Systems
Statistics