Software Engineer, Safeguards
Anthropic
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
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: Software Engineer, Safeguards
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a Software Engineer, Safeguards, 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 our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
- Build abuse detection mechanisms and infrastructure
- Surface abuse patterns to our research teams to harden models at the training stage
- Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale
You May Be a Good Fit If You
- Bachelor’s degree in Computer Science, Software Engineering or comparable experience
- 5-10+ years of experience in a software engineering position, preferably with a focus on integrity, spam, fraud, or abuse detection and mitigation
- Proficiency in Python and Typescript
- Ability to work across the stack
- Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong Candidates May Also
- Have experience building trust and safety detection mechanisms and intervention for AI/ML systems
- Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
- Have worked closely with operational teams to build custom internal tooling
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 about our policy for using AI in our application process
Key skills/competency
- AI Safety
- Abuse Detection
- Monitoring Systems
- Software Engineering
- Python
- Typescript
- Trust & Safety
- API Security
- Machine Learning Systems
- Adversarial Inputs
How to Get Hired at Anthropic
- Research Anthropic's mission: Study their commitment to reliable, interpretable, and steerable AI systems and societal impact.
- Tailor your resume for AI Safety: Highlight experience in integrity, spam, fraud, or abuse detection and mitigation within AI/ML.
- Showcase technical expertise: Emphasize proficiency in Python, Typescript, and full-stack development capabilities.
- Demonstrate communication skills: Prepare to explain complex technical concepts to diverse audiences, including non-technical stakeholders.
- Understand AI safety research: Familiarize yourself with Anthropic's publications, prompt engineering, and adversarial input concepts.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background