Senior Research Scientist – AI Security

🔥 0 minutes ago

🏄 California, Colorado, +3 more states – Remote

infoinfo

💵 $168k - $304.8k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

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Logo of NVIDIA

NVIDIA

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

• Conduct novel and creative research on improving cybersecurity and AI • Use models and agents to improve cybersecurity and secure models and agents • Contribute research on new problems in AI and security • Develop tools and processes to expose or remediate novel weaknesses in conventional and AI systems • Present results through peer-reviewed publications or other communications with security, machine learning, and business communities • Share research results with teams across NVIDIA • Solve relevant AI security problems across a wide range of contexts

🎯 Requirements

• Master’s or PhD Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience) • 5+ years 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 • Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings • Motivated and curious about new technologies • Ability to present sophisticated technical information clearly • Tight-knit collaboration skills with a history of successful cross-functional projects • Discovered CVEs or built successful tooling • Knowledge of adversarial machine learning and techniques to defend against adversarial techniques • Experience with secure software development practices • Ability to build human-friendly resources

🏖️ Benefits

• Equity • Benefits

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