8 months ago
Base Salary
$320k - $405k/yr
Responsibilities
- Build systems that gather and analyze signals at scale to identify and prevent account abuse.
- Integrate third-party data-enrichment vendors.
- Inspect other teams’ code to identify signal-collection points and introduce low-impact interventions.
- Create monitoring dashboards, alerts, and internal administrative UX.
- Collaborate with data scientists on usage patterns and trends and with Policy & Enforcement on human-review effectiveness.
- Build robust, reliable, multilayered defenses.
- Lead root cause analyses and investigations into account activity, abuse patterns, and emerging attack vectors.
- Inform immediate enforcement actions and longer-term systemic defenses.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a comparable field, or equivalent experience.
- 3–10+ years of experience in a software engineering position, preferably focused on integrity, spam, fraud, or abuse detection.
- Proficiency in Python, SQL, and data analysis tools.
- Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Experience with trust and safety mechanisms, AI/ML systems, fraud-detection models, security monitoring tools, or supporting infrastructure is a strong preferred qualification.
- Experience working with operational teams to build custom internal tooling is a strong preferred qualification.
Benefits
- Annual salary range of $320,000–$405,000 USD.
- Hybrid policy requiring staff to be in an office at least 25% of the time.
- Visa sponsorship may be available, with immigration lawyer support.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.