Anthropic is looking for software engineers to help build safety and oversight mechanisms for their AI systems. The role focuses on building systems to understand how users are using their models in novel, harmful ways in the rapidly evolving AI landscape, and to apply technical skills to uphold principles of safety, transparency, and responsible oversight.
Requirements
- Proficiency in Python, SQL, and data analysis tools.
- 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 scale
- Experience with prompt engineering, jailbreak attacks, and other adversarial inputs
- Experience with threat intelligence or investigative teams to build custom internal tooling
Responsibilities
- Develop monitoring systems to detect unwanted behaviors from our users and potentially take automated enforcement actions
- Build robust and reliable internal tools for rich data understanding and exploration
- Work closely with our data scientists to maintain situational awareness of our current usage patterns and trends
- Work closely with our threat investigators to uplevel their ability to conduct thorough investigations
- Build integrations with third-party data-enrichment vendors
- Create infrastructure to power large scale, unsupervised learning techniques to detect novel patterns of abuse.
Other
- Bachelor’s degree in Computer Science, Software Engineering or comparable experience
- 3-10+ years of experience in a software engineering position, preferably with a focus on integrity, spam, fraud, or abuse detection.
- Strong communication skills and ability to explain complex technical concepts to - and work closely with - non-technical stakeholders
- Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
- 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.
- We encourage you to apply even if you do not believe you meet every single qualification.
- 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.
- 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.
- 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.
