Staff+ Software Engineer, Safeguards Data

Anthropic Limited; San Francisco, Northern (CA, KY); On-site; USD 320,000 - 485,000; Full time

Benefits offered by this job

Office in San Francisco

Competitive compensation and benefits

Equity donation matching (optional)

Job summary

Anthropic Limited in San Francisco is hiring a Staff+ Software Engineer for the Safeguards Data team. You will build safety-focused data pipelines, stores, and governance controls deployed across AWS, GCP, and Azure, ensuring correct data handling and portability across environments.

You will own data integrity, retention, access controls, and collaboration with analysts and researchers, with a focus on safety, transparency, and policy-aligned tooling.

Qualifications

• Bachelor’s degree in a field related to software or data systems.
• Proficiency in Python and SQL with production-grade data pipelines.
• Experience building or operating data pipelines or data stores in production.
• Ability to communicate complex tradeoffs to non-technical stakeholders.

Responsibilities

• Build and operate the data platform powering Safeguards, including data ingestion, processing, warehouses, and data schemas.
• Maintain day-to-day operations with a high bar for safety, reliability, and user impact.
• Own data governance, retention, access controls, and privacy-preserving handling of sensitive data.
• Design portable, cloud-agnostic systems across AWS, GCP, and Azure.
• Collaborate with analysts, investigators, and researchers relying on the data tooling.

Skills

Python

SQL

Data pipelines

Data stores

Cloud platforms (AWS/GCP/Azure)

Data governance

Communication

Education

Bachelor’s degree

Tools

AWS

GCP

Azure

Job description

Staff+ Software Engineer, Safeguards Data

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 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.

Key responsibilities

• 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
• Proficiency in Python and SQL
• Experience building and operating data pipelines or data stores in production
• 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

Preferred qualifications

• 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

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.

$320,000 - $485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage: Learn aboutour policy for using AI in our application process.

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