Senior Software Security Engineer

Anthropic is working on frontier AI research that has the potential to transform how humans and machines interact. As our models grow more powerful, securing them from exfiltration or misuse becomes critically important. In this role, you'll be helping to build and institute controls to lock down our AI training pipelines, apply security architecture patterns built for adversarial environments, and secure our model weights as we scale model capabilities.About AnthropicAnthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.Responsibilities:Design and implement secure-by-default controls as they relate to our software supply chain, AI model training systems, and deployment environments.Perform security architecture reviews, threat modeling, and vulnerability assessments to identify and remediate risks.Support Anthropic's responsible disclosure and bug bounty programs and participate in the Security Engineering team's on-call rotation.Accelerate the development of Anthropic's security engineers through mentorship and coaching, and contribute to company building activities like interviewing.Help build greater security awareness across the organization and coach engineers on secure coding practices.Lead and contribute towards large efforts such as building multi-party authorization for AI-critical infrastructure, helping to reduce sensitive production access, and securing build pipelines.You may be a good fit if you:Have 8+ years of software development experience with a security focus.Experience building and scaling a Security program. Proactively identifying and solving systemic and ambiguous security challenges.Experience setting technical direction for ambiguous technical challenges in the Security space.Experience mentoring Security engineers across a range of disciplines.Have experience applying security best practices, like the principle of least privilege and defense-in-depth, to complex systems.Are proficient in languages like Rust, Python, Javascript/Typescript.Have a track record of launching successful security initiatives and working cross-functionally to enact such changes.Are passionate about making AI systems more safe, interpretable, and aligned with human values.Strong candidates may also:Have experience supporting fast-paced startup engineering teamsCare about AI safety risk scenariosExperience as a tech lead or manager[OPTIONAL] Candidates need not have:100% of the skills needed to perform the jobFormal certifications or education credentialsMachine learning experience or knowledgeAnnual Salary (USD)The expected salary range for this position is $320k - 405kLogisticsLocation-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.Deadline to apply:

None. Applications will be reviewed on a rolling basis.US visa sponsorship:

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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. 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.Compensation and BenefitsAnthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.How we're differentWe 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.

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