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 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.
* 3-8+ 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.
Logistics
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.
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.
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