Anthropic Limited
Software Engineer, Trust & Safety
Anthropic Limited, San Francisco, California, United States, 94199
About the role:
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a trust and safety software engineer, 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
Analyze user reports of inappropriate content or accounts
You may be a good fit if you:
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.
Proficiency in SQL, Python, and data analysis tools.
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
Have experience building trust and safety mechanisms for AI/ML systems, such as fraud detection models or security monitoring tools or the infrastructure to support these systems at scale
Have experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch, and experience building machine learning models
Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Have worked closely with operational teams to build custom internal tooling
Deadline to apply: None. Applications will be reviewed on a rolling basis.
#J-18808-Ljbffr
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a trust and safety software engineer, 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
Analyze user reports of inappropriate content or accounts
You may be a good fit if you:
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.
Proficiency in SQL, Python, and data analysis tools.
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
Have experience building trust and safety mechanisms for AI/ML systems, such as fraud detection models or security monitoring tools or the infrastructure to support these systems at scale
Have experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch, and experience building machine learning models
Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Have worked closely with operational teams to build custom internal tooling
Deadline to apply: None. Applications will be reviewed on a rolling basis.
#J-18808-Ljbffr