Senior Agentic AI For Data Science Applied Researcher

NVIDIA
Santa Clara, Texas, Washington
Workplace: RemoteFull timeUSD 152,000 - 287,500 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Design","Optimization","Benchmarking","Analysis"]

Build multi-modal agentic AI solutions that automate data science pipelines, from data elicitation and curation through iterative experimentation, model training/evaluation workflows, diagnostics, and ablation studies. Develop and maintain agentic AI benchmarks to assess performance across use cases. Partner with software and solutions teams to identify high-impact opportunities and apply work to enterprise projects and ML competitions.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Agentic AI For Data Science Applied Researcher

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Last checked: 7 minutes agoStatus: Live

Job Summary

Build multi-modal agentic AI solutions that automate data science pipelines, from data elicitation and curation through iterative experimentation, model training/evaluation workflows, diagnostics, and ablation studies. Develop and maintain agentic AI benchmarks to assess performance across use cases. Partner with software and solutions teams to identify high-impact opportunities and apply work to enterprise projects and ML competitions.
Location: Santa Clara, Texas, Washington
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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 for data science and machine learning workflows.
  • •Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key 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 developing AI data science systems, including exposure to fine-tuning, reinforcement learning, agents, and 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 (Claude Code, Codex, Cursor) and building agentic/automated systems that integrate external storage and reporting tools.
Education:Bachelor's
Skills:CollaborationDesignOptimizationBenchmarkingAnalysis
Tech Stack:PythonPyTorchJAXTensorFlowClaude CodeCodexCursor

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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