Senior Agentic AI – Data Science Applied Researcher

Job not on LinkedIn

🔥 8 minutes ago

🏄 California, Texas, +1 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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 across diverse use cases • Build agentic AI solutions that automate parts or all of data science pipelines, including data elicitation, data curation, iterative experimentation, model training and evaluation workflows, diagnostics, and ablation studies • Apply solutions to enterprise data science projects and machine learning competitions • Collaborate across internal teams and organizations • Deliver work used in products worldwide

🎯 Requirements

• Bachelor's degree in computer science, electrical engineering, or related field, or equivalent experience • 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 • Proficiency in 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 • 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 in machine learning competitions and benchmarks

🏖️ Benefits

• Comprehensive benefits package • Equity • Highly competitive salary