Principal Software Security Engineer

• 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 15+ 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

• [OPTIONAL] Candidates need not have:
• 100% of the skills needed to perform the job
• Formal certifications or education credentials
• Machine learning experience or knowledge

Annual Salary (USD)

• The expected salary range for this position is $560k USD.

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.

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. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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.

US Benefits - The following benefits are for our US-based employees:

• Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
• Comprehensive health, dental, and vision insurance for you and all your dependents.
• 401(k) plan with 4% matching.
• 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.
• Fertility benefits via Carrot.
• Daily lunches and snacks in our office.
• Relocation support for those moving to the Bay Area.

UK Benefits - The following benefits are for our UK-based employees:

• Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
• Private health, dental, and vision insurance for you and your dependents.
• Pension contribution (matching 4% of your salary).
• 22 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 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. 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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. #J-18808-Ljbffr