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Anthropic

Security Engineer - Threat Intel

Anthropic

Published 11 May 2026
San Francisco, CA, USA
320K - 405K USD Annual
Full Time

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Role Highlights

Languages used

Python

Key skills

Computer Science
Open Source
Cloud Infrastructure
Security Engineer
LLMs
AI
Research
SAAS
Malware
Architecture
Automation
Data
Machine Learning
Physics
Biology
Interpretability
Multimodal

Tools, Libraries and Frameworks

DNS
AWS
GCP
Kubernetes
HTTP

Description

The role involves producing actionable intelligence to drive detections, hunts, and defensive priorities within a security team. The practitioner tracks adversaries targeting AI labs and builds tooling to convert raw indicators into operational defenses. Responsibilities include performing technical analysis of malware and attacker infrastructure to extract attribution signals. The individual collaborates with detection engineers and incident responders to translate intelligence into security rules and incident context. Additionally, the role requires building external intelligence-sharing relationships with peer companies and government partners.

Required Qualifications and Skills

Candidates must have at least five years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis. Proficiency in Python and the ability to build automation and data pipelines are required. Applicants should possess deep knowledge of nation-state or advanced criminal threat actors and their tradecraft. A minimum of a bachelor's degree or an equivalent combination of education, training, and experience is necessary.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Anthropic

Size

265

Public/Private

Privately Held

Description

Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.

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