NVIDIA Corporation

Senior Agentic AI For Data Science Applied Researcher

NVIDIA Corporation$152K — $287K *
US-Anywhere
+ 3 other locationsRemote
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, electrical engineering, or related field; MS or PhD preferred.
  • 5+ years experience in AI data science systems development or related field.
  • Knowledge of fine-tuning models and reinforcement learning.
  • Proficient in Python and at least one deep learning framework (Pytorch or JAX/TensorFlow).
  • Experience with coding agents for advanced codebases.

Responsibilities

  • Collaborate with internal teams to leverage agentic AI technologies.
  • Lead the design and optimization of AI solutions for data workflows.
  • Develop benchmarks to evaluate agentic AI performance across applications.

Benefits

  • Eligibility for equity compensation and comprehensive benefits package.
  • Work on cutting-edge AI projects with global impact.
  • Collaborative environment with cross-functional teams.
Full Job Description
We are looking for an outstanding Senior Agentic AI Applied Researcher to build groundbreaking mutli-modal agentic AI solutions for data science and machine learning. As a member of the team, you will develop new agentic AI solutions to automate part or all of data science pipelines, including data elicitation, data curation, iterative experimentation, workflows for model training and evaluation, diagnostics, and ablation studies. You will apply this to various enterprise data science projects as well as machine learning competitions. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.

What you'll be doing:
  • 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 that address challenges in data science and machine learning workflows
  • Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.


What we need to see:
  • Bachelor's degree in computer science, electrical engineering, or related field (or equivalent experience); MS or PhD preferred.
  • 5+ years of industry or academia experience with AI data science systems development; exposure to fine tuning models, 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 in using coding agents like claude code, codex, cursor, to develop and maintain advanced codebases.
  • Experience developing agentic or automated systems that communicate with external storage and reporting tools.


Ways to stand out from the crowd:
  • 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.
  • Good results on machine learning competitions and on machine learning benchmarks.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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