Senior Agentic AI for Data Science Applied Researcher

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Agentic AI @ 6 Claude Code @ 4 Codex @ 4 Data Science @ 4 Deep Learning @ 4 Experimentation JAX @ 6 Leadership @ 6 Machine Learning @ 4 PyTorch @ 6 Python @ 6 Reinforcement Learning @ 6 Reporting @ 4 TensorFlow @ 6

Details

NVIDIA is looking for an outstanding Senior Agentic AI Applied Researcher to build multimodal agentic AI solutions for data science and machine learning. The role involves developing agentic AI solutions to automate parts or all of data science pipelines, including data elicitation, data curation, iterative experimentation, model training and evaluation workflows, diagnostics, and ablation studies. The work will be applied to enterprise data science projects and machine learning competitions, with collaboration across internal teams and organizations.

Responsibilities

Collaborate with software and solutions teams to identify high-impact opportunities for applying agentic AI technologies.
Lead the design, development, and optimization of agentic AI solutions addressing data science and machine learning workflow challenges.
Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.

Requirements

Bachelor's degree in computer science, electrical engineering, or a related field, or equivalent experience; a master's degree or PhD is preferred.
Five or more years of industry or academic experience developing AI data science systems.
Exposure to model fine-tuning, reinforcement learning, agents, or orchestration frameworks.
Hands-on experience with deep learning frameworks and inference stacks.
Proficiency in Python and at least one of PyTorch or JAX/TensorFlow.
Experience using coding agents such as Claude Code, Codex, or Cursor to develop and maintain advanced codebases.
Experience developing agentic or automated systems that communicate with external storage and reporting tools.

Preferred Qualifications

Familiarity with safety, guardrails, and policy enforcement for autonomous systems.
Deep expertise in building, training, and fine-tuning models.
Experience designing, executing, and analyzing autonomous AI systems for data science and machine learning applications.
Open-source leadership in agentic AI systems for data science.
Strong results in machine learning competitions and on machine learning benchmarks.

Compensation and Benefits

Base salary range of $152,000–$241,500 for Level 3.
Base salary range of $184,000–$287,500 for Level 4.
Eligibility for equity and benefits.
Salary is determined based on location, experience, and pay for employees in similar positions.
Applications will be accepted at least until August 7, 2026.
NVIDIA is an equal opportunity employer and is committed to an inclusive work environment.