Software Security Engineer

New Today

Anthropics 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.
Anthropic is working on frontier AI research that has the potential to transform how humans and machines interact. 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.
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.
Have 8+ years of software development experience with a security focus.
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.
Care about AI safety risk scenarios
Location-based hybrid policy: US 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 effort to get you into the United States, and we retain an immigration lawyer to help with this.
We think AI systems like the ones we're building have enormous social and ethical implications. Compensation and Benefits*
Anthropics 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.
Comprehensive health, dental, and vision insurance for you and all your dependents.
~22 weeks of paid parental leave.
~ Unlimited PTO most staff take between 4-6 weeks each year, sometimes more!
~ Stipends for education, home office improvements, commuting, and wellness.
~ Daily lunches and snacks in our office.
~ Relocation support for those moving to the Bay Area.

Private health, dental, and vision insurance for you and your dependents.
~ Pension contribution (matching 4% of your salary).
~21 weeks of paid parental leave.
~ Unlimited PTO most staff take between 4-6 weeks each year, sometimes more!
~ Health cash plan.
~ Life insurance and income protection.
~ Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropics 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.
We believe that the highest-impact AI research will be big science. 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 do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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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Location:
London
Salary:
£405,000,000
Job Type:
FullTime

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