Senior Research Scientist, AI Security

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Seattle, WATXCOWACAMA
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $192k
$142k $244k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$221,800.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1668 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 657 roles with salary data.

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At a glance

TL;DR · Senior Research Scientist, AI Security

The Senior Research Scientist - AI Security joins the Agentic Cybersecurity Research team to innovate and improve the protection of AI models, systems, and infrastructure. In this role, you will conduct novel and creative research on improving cybersecurity and AI, specifically focusing on using models and agents to enhance security while simultaneously securing those models and agents. You will develop tools and processes to expose or remediate novel weaknesses in conventional and AI systems. Key responsibilities include publishing results in peer-reviewed venues and sharing findings with internal teams. Required skills include a Master’s or PhD in a related field, over five years of experience in machine learning or cybersecurity, programming expertise, and an in-depth understanding of Generative AI workflows and adversarial machine learning techniques.

What does a Research Scientist earn?

Median $216000 from 43 postings across 16 companies.

See salary data

What you'll do

  • Conduct novel research on using AI models and agents to improve cybersecurity.
  • Develop technologies to secure AI models, systems, and infrastructure against threats.
  • Create tools and processes to identify and remediate weaknesses in conventional and AI systems.
  • Publish research findings in peer-reviewed venues and share them with the security and machine learning communities.
  • Solve security problems across a wide range of contexts by sharing results with internal teams.
  • Research and develop defensive techniques against adversarial machine learning attacks.

What we're looking for

  • Master’s or PhD degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).
  • 5+ years of experience in machine learning, cybersecurity, or closely related fields.
  • Shown programming expertise.
  • Outstanding knowledge of AI and conventional software weaknesses and mitigation strategies.
  • In-depth understanding of Generative AI workflows.
  • Ability to present sophisticated technical information clearly.
  • Knowledge of adversarial machine learning and techniques to defend against adversarial techniques (preferred).
  • Experience with secure software development practices (preferred).

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