Threat Collections Engineer

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

You will join the Threat Intelligence team as a Threat Collections Engineer, building the infrastructure that powers threat discovery capabilities. The role focuses on integrating external data sources, developing automated detection systems for lead generation, creating internal tooling to scale investigators' impact, and taking projects from proof-of-concept to production. The role is remote-friendly and travel is required; office locations include San Francisco, CA and Washington, DC.

Responsibilities

• Build automated detection systems that use disparate signals to identify abusive behavior.
• Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes.
• Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data.
• Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations.
• Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries.
• Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure.
• Establish feedback loops with investigators to tune detection systems and reduce false positives.
• Scrape and normalize data from external sources to feed threat detection and enrichment workflows.

Requirements

• Strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation.
• Experience with data pipeline orchestration tools (Airflow, DBT, or similar).
• Familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques.
• Experience integrating external APIs and building data ingestion systems.
• Ability to translate investigator needs and workflows into technical requirements and to iterate on v0 systems based on user feedback.
• Strong communication skills for working closely with non-engineering stakeholders.

Strong candidates may also have

• Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII).
• Background in cyber threat intelligence, security operations, or abuse detection.
• Experience building MCP servers or similar tool integrations for AI systems.
• Familiarity with web scraping and data extraction at scale.
• Experience with behavioral analytics or anomaly detection systems.
• Understanding of LLM capabilities and how to leverage them for automation (the posting specifically mentions using Claude).
• A Top Secret Clearance.

Logistics

• Education requirements: at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: currently expect all staff to be in one of our offices at least 25% of the time; some roles may require more time in offices.
• Visa sponsorship: Anthropic does sponsor visas and retains an immigration lawyer; they note they cannot guarantee sponsorship for every role/candidate but will make reasonable efforts if an offer is made.
• Deadline to apply: None (applications reviewed on a rolling basis).

Compensation

Annual Salary: $300,000 - $320,000 USD

How we're different

Anthropic works as a cohesive team on a few large-scale research efforts, values communication and impact, and treats AI research as an empirical science. They emphasize collaboration, frequent research discussions, and inclusion of diverse perspectives.