Staff+ Software Engineer (Account Abuse)

Anthropic; York and North Yorkshire; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Health and dental insurance

Parental leave 22 weeks

Equity packages

Relocation support

Home office stipend

Commuter benefits

Education stipend

Job summary

Anthropic is seeking an experienced software engineer to join the Account Abuse team in York. You will build scalable systems to analyze signals, balance tradeoffs, and coordinate with stakeholders across the company.

The role involves rapid iteration in a greenfield environment, code exploration across teams, and robust multi-layered defenses against abuse. You will collaborate with data scientists and policy teams to maintain situational awareness of usage patterns, develop internal tooling,

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering or comparable experience.
• Proficiency in Python, SQL, and data analysis tools.
• 8+ years of industry software engineering experience, preferably with focus on integrity, spam, fraud, or abuse detection.
• Experience building trust and safety mechanisms for AI/ML systems.

Responsibilities

• Build systems to gather and analyze signals at scale.
• Integrate with third-party data-enrichment vendors.
• Create monitoring dashboards, alerts, and internal admin UX.
• Lead root cause analyses and investigations into account activity to identify abuse patterns.
• Collaborate with data scientists and policy teams to maximize impact of human-review processes.

Skills

Python

SQL

Data analysis

Strong communication

Integrity/fraud detection

Education

Bachelor’s degree in CS or related field

Tools

None

Job description

• The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company
• Ability to think and respond quickly in a rapidly-changing greenfield environment
• Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture
• Integration with third-party data-enrichment vendors
• Creating monitoring dashboards, alerts, and internal admin UX
• Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability
• Building 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 both immediate enforcement actions and longer-term systemic defenses

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasuresStrong communication skills and ability to explain complex technical concepts to non-technical stakeholdersA Bachelor’s degree in Computer Science, Software Engineering or comparable experienceProficiency in Python, SQL, and data analysis toolsWe encourage you to apply even if you do not believe you meet every single qualificationHave experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scaleHave worked closely with operational teams to build custom internal tooling8+ years of industry software engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection