About The Position

NVIDIA is seeking an outstanding Senior Agentic AI Applied Researcher to develop groundbreaking multi-modal agentic AI solutions for data science and machine learning. This role involves creating new agentic AI solutions to automate various aspects of data science pipelines, including data elicitation, data curation, iterative experimentation, workflows for model training and evaluation, diagnostics, and ablation studies. The work will be applied to enterprise data science projects and machine learning competitions, with opportunities for collaboration across internal teams and the potential for global product integration. The position is for an existing vacancy and NVIDIA utilizes AI tools in its recruiting processes.

Requirements

  • 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.

Nice To Haves

  • 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.

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 that address challenges in data science and machine learning workflows.
  • Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.

Benefits

  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity
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