Staff Plus Software Engineer (Safeguards Data)

Anthropic; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Parental leave

Flexible PTO

Mental health support

Equity packages

Relocation assistance

Home office stipend

Commuter benefits

Education stipend

Meals in office

Job summary

Anthropic is seeking software engineers for the Safeguards team to build safety, oversight, and data governance for AI systems. You will design data pipelines, stores, and detection interfaces across AWS, GCP, and Azure and ensure correctness, privacy, and portability.

You will partner with analysts, investigators, and researchers, operate large-scale data infrastructure, and help enforce our terms of service while reducing manual effort.

Qualifications

• Experience building data pipelines or data stores in production.
• Proficiency in Python and SQL.
• Strong written and verbal communication skills.
• Experience with integrity, spam, fraud, or abuse detection and mitigation.
• Experience building trust and safety detection mechanisms for AI systems.
• Experience operating large-scale distributed data infrastructure.

Responsibilities

• Build and operate data platform powering Safeguards, including pipelines and data stores.
• Keep Safeguards systems running day to day with high operational standards.
• Own data governance, retention, access controls, and privacy-preserving handling.
• Design portable systems across cloud providers and customer-managed environments.
• Collaborate with analysts, investigators, and researchers relying on data.

Skills

Data pipelines

Python

SQL

Data governance

Cloud multi-cloud

Communication

Security/compliance

Tools

Python

SQL

Job description

• We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and support user well-being
• This role focuses on the data foundations that make that work possible: the pipelines, stores, and governance controls that our detection, evaluation, and review systems are built on, deployed across AWS, GCP, and Azure
• You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies
• The systems you build sit underneath decisions with real consequences for customers and for people affected by model misuse, and much of the data moving through them is sensitive. Correctness, retention discipline, and access control are core engineering requirements here rather than things bolted on afterward. You will also design for portability from the outset, because these systems run in customer-managed and third-party environments you do not fully control
• Build and operate the data platform that powers Safeguards, including ingestion and processing pipelines, warehouses and other data stores, and the schemas and interfaces that detection and review systems depend on
• Keep Safeguards systems running day to day and hold a high operational bar that serves both safety and customers, while reducing the manual effort needed to sustain it
• Own data governance and integrity, including retention and access controls, privacy-preserving handling of sensitive data, lineage, and correctness guarantees that downstream consumers can rely on
• Design systems that run portably across cloud providers, working within the constraints of customer-managed and third-party environments
• Partner with the analysts, investigators, and researchers who rely on this data, and build the internal tooling their work depends on

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

• Ability to work across the data stack, including ingestion, storage, and consumption
• Strong written and verbal communication skills, including the ability to explain technical tradeoffs to people outside your discipline
• Experience building and operating data pipelines or data stores in production
• Proficiency in Python and SQL
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed
• Extensive experience as a software engineer, including significant time on data-intensive systems
• Experience with integrity, spam, fraud, or abuse detection and mitigation
• Experience building trust and safety detection and intervention mechanisms for AI or machine learning systems
• Experience building and operating large-scale distributed data infrastructure
• Experience working across multiple cloud providers, or building infrastructure designed to be provider-agnostic
• Experience meeting data governance requirements in a regulated or high-sensitivity domain
• Experience working closely with operational teams to build custom internal tooling