Senior Applied Research Scientist

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Posted
42 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $216k
$135k most similar roles pay here $278k

This role pays more than 61% of similar roles. Most pay $162,000–$248,375 — the shaded band above. At the midpoint, this role pays about $216k versus about $205k for comparable roles.

Based on 240 similar postings.

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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Applied Research Scientist

As a Senior Applied Research Scientist, you will join a specialized team focused on developing foundation models for the life sciences. You will be responsible for designing and training large-scale machine learning models at the intersection of genomics, proteomics, and chemistry while conducting experimental designs to probe model capabilities. Your daily work involves mentoring team members, leading research initiatives, crafting strategic roadmaps, and collaborating with hardware and software teams to improve platforms for large-scale applications. You will utilize deep learning for sequences, diffusion models, LLMs, and unsupervised learning techniques. The role requires proficiency in Python and C++ alongside expertise in biochemistry, drug discovery, molecular biology, and chemical engineering. This position addresses the technical challenge of creating foundation models that natively interpret the complex language of cells, biology, and chemistry to advance modern drug discovery.

What you'll do

  • Design and train large-scale machine learning models at the intersection of genomics, proteomics, and chemistry.
  • Conduct experimental designs to probe the capabilities and limitations of developed foundation models.
  • Mentor team members and lead research initiatives to develop strategic roadmaps.
  • Collaborate with hardware and software teams to optimize NVIDIA platforms for large-scale model applications.
  • Engage with the research community through publications, presentations, and collaborative projects.
  • Apply advanced AI techniques like diffusion models and LLMs to drug discovery and molecular biology.

What we're looking for

  • PhD in Computer Science or Computational Biology (or equivalent experience).
  • 2+ years of experience in deep learning, bioinformatics, chemical engineering, structural biology, or related fields.
  • Deep understanding of modern AI techniques including diffusion models, LLMs, and unsupervised learning.
  • Hands-on expertise in designing, training, and evaluating large neural networks.
  • Outstanding expertise in biochemistry, drug discovery, molecular biology, or chemical engineering.
  • Strong software engineering and design skills in Python, C++, or similar languages.
  • Proven track record of excellence in both engineering and research.

More like this

Similar roles

Senior Applied Scientist

Adobe

San Jose, CA 63 days ago $216,400$313,300
LLM Python PyTorch Hugging Face vLLM RAG SFT DPO GRPO RLHF RLAIF MLOps AWS GCP Azure Data Structures Algorithms

Senior Applied Scientist

Adobe

San Jose, CA +1 108 days ago $187,100$270,950
Generative AI Diffusion Models PyTorch Python VLM Distributed Training Machine Learning Deep Learning Captioning Pipelines

Senior Applied Scientist

Microsoft

120 days ago $119,800$234,700
Deep Learning Python PyTorch TensorFlow Machine Learning Feature Engineering Multi-task Learning Causal Inference Data Pipelines Model Calibration offline evaluation Online Evaluation Recommendation Systems Statistics Econometrics
4+ yrs exp Hybrid

Senior Applied Scientist

Datadog

101 days ago
Machine Learning Algorithms Data Pipelines Statistical Techniques Anomaly Detection Streaming Data
Hybrid

Senior Applied Scientist

Microsoft

78 days ago $119,800$234,700
Machine Learning Generative AI LLMs Prompt Engineering Python SQL C# R C++ Java NLP Data Mining Feature Engineering Statistics Regression Classification Optimization
4+ yrs exp Hybrid

Senior Applied Scientist

Microsoft

27 days ago $119,800$234,700
Mechanism Design Machine Learning Reinforcement Learning Optimization Methods Statistical Modeling Data Pipelines Azure Predictive Analytics gametheory counterfactualestimation marketplaceoptimization
4+ yrs exp Hybrid