Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Python @ 5
SQL @ 5
Communication @ 6
Data Analysis @ 5
Fraud @ 7
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s Account Abuse team ensures computing capacity is allocated fairly, minimizes resources available to bad actors, and prevents repeat abuse. As a Software Engineer on this team you will build systems that gather and analyze signals at scale, balance tradeoffs, and coordinate closely with stakeholders across the company. The role requires attacking problems from opponents’ perspectives, anticipating abuse responses, and building robust multi-layered defenses.
Responsibilities
- Think and respond quickly in a rapidly-changing greenfield environment
- Jump into other teams’ code to identify points to gather signals or introduce interventions with minimal impact on system stability, complexity, or architecture
- Integrate with third-party data-enrichment vendors
- Create monitoring dashboards, alerts, and internal admin UX
- Work closely with data scientists to maintain situational awareness of usage patterns and trends
- Collaborate with Policy & Enforcement to maximize the impact of human-review availability
- Build robust and reliable multi-layered defenses
- Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform enforcement actions and longer-term defenses
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
- 5-10+ years of experience in software engineering, preferably focused on integrity, spam, fraud, or abuse detection
- Proficiency in Python, SQL, and data analysis tools
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also
- Have experience building trust & safety mechanisms or using AI/ML systems (fraud-detection models, security monitoring tools, or supporting infrastructure at scale)
- Have worked closely with operational teams to build custom internal tooling
Compensation
- Annual Salary: $320,000 - $405,000 USD
Logistics
- Locations: San Francisco, CA and New York City, NY
- Location-based hybrid policy: staff are expected to be in one of our offices at least 25% of the time
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist (case-by-case)
- Education requirement: at least a Bachelor’s degree in a related field or equivalent experience
Company
Anthropic is a public benefit corporation headquartered in San Francisco. The company offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, and flexible working hours.