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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 ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. 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.
Responsibilities
- Develop monitoring systems to detect unwanted behaviors from API partners and potentially take automated enforcement actions, surfacing these in internal dashboards for analysts.
- Deploy and manage monitoring systems across multiple clouds, ensuring consistency through shared deployment pipelines, smoke tests, observability, and alerting.
- Design and harden the sandboxed runtime for AI agents, focusing on isolation, network egress controls, data access, audit logging, and insider-risk controls.
- Manage cost and capacity for large volumes of long-running agent work, and meet service-level objectives for the platform.
- Collaborate with engineers, researchers, security, privacy, and legal teams to facilitate rapid deployment of new detection work on a trusted platform.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering or comparable experience.
- Proficiency in Python, Distributed Systems, and Infrastructure as Code.
- Experience working across multiple cloud providers or building provider-agnostic infrastructure.
- Experience building and operating large-scale, distributed infrastructure (e.g., data platforms, control planes, job schedulers).
- Experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language like Rust.
- Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
- Experience building systems that handle sensitive or regulated data with requirements around access control, auditability, retention, and data residency.
- Experience running LLM-based agents in production.
- Experience with integrity, spam, fraud, or abuse detection and mitigation.
Skills
- Python
- Distributed Systems
- Infrastructure as Code
- Cloud Providers
- Sandboxing
- Isolation Technologies
- Rust
- Communication Skills
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 8+ years of experience in a software engineering position
Education Level
- Bachelor’s degree
- Equivalent combination of education, training, and/or experience
Salary/Compensations
- $320,000—$485,000 USD
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
About the Company
- 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.
- 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.
- 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.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- 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.
- Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
- We think AI systems like the ones we're building have enormous social and ethical implications.
- We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.