Threat Collections Engineer
Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DCFull-TimeMid-levelSoftware Engineering
About Anthropic
- 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
- We are looking for a Threat Collections Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact.
- This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function.
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
You may be a good fit if you
- Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation
- Have experience with data pipeline orchestration tools (Airflow, DBT, or similar)
- Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques
- Have experience integrating external APIs and building data ingestion systems
- Can translate investigator needs and workflows into technical requirements
- Are comfortable building v0 systems and iterating based on user feedback
- Have 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
- A Top Secret Clearance
Deadline to apply:None. Applications will be reviewed on a rolling basis.
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
