Karkidi
Senior Software Security Engineer
Karkidi, San Francisco, California, United States, 94199
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 Anthropic
Anthropic 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 teams Care about AI safety risk scenarios Experience as a tech lead or manager Annual Salary (USD) The expected salary range for this position is $320k - 405k Logistics
Location-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. Compensation and Benefits
Anthropic’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. Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. 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.
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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 teams Care about AI safety risk scenarios Experience as a tech lead or manager Annual Salary (USD) The expected salary range for this position is $320k - 405k Logistics
Location-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. Compensation and Benefits
Anthropic’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. Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. 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.
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