About Anthropic

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.

Responsibilities:

• Help secure AI products and internal tools that are introducing industry-novel security risks and pushing established security boundaries
• Lead “shift left” security efforts to build security into the software development lifecycle.
• Conduct secure design reviews and threat modeling. Identify and prioritize risks, attack surfaces, and vulnerabilities.
• Develop tooling to scale security code reviews and respond to developer questions, including advising developers on remediating vulnerabilities and following secure coding practices.
• Manage Anthropic's vulnerability management program, including integrating data ingestion pipelines, coding logic to prioritize vulnerability fixes, supporting teams remediating vulnerabilities and developing automated systems at scale.
• Oversee Anthropic's bug bounty program. Set scope, validate submissions, perform root cause analysis, coordinate remediation with engineering teams, and award bounties. Cultivate relationships with the ethical hacker community.
• Collaborate closely with product engineers and researchers to instill security best practices. Advocate for secure architecture, design, and development.
• Develop and document security policies, standards, and playbooks. Conduct security awareness training for engineers.

You may be a good fit if you:

• Have 7+ years of hands-on experience in application and infrastructure security, including securing cloud-based and containerized environments.
• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Lead with empathy, a collaborative spirit, and a learning mindset to work cross-functionally with engineers of all levels to build security into the software development life cycle.
• Leverage creative and strategic thinking to reduce risk through secure design and simplicity, not just controls.
• Possess broad security knowledge to connect the dots across domains and identify holistic ways to decrease the overall threat surface.
• Are keen to distill complex security concepts into clear actions and drive consensus without direct authority.
• Embody a proactive mindset to thread security throughout the product lifecycle through activities like threat modeling, secure code review, and education.
• Have a strong grasp of offensive security to anticipate risks from an adversary's perspective, not just check compliance boxes.
• Bring experience with modern application stacks, infrastructure, and security tools to implement pragmatic defenses.
• Are practiced at collaborating cross-functionally and effectively balancing security requirements with business objectives.
• Advocate for security fundamentals like least privilege, defense-in-depth, and eliminating complexity that could sub-linearly scale security through smart design.

Strong candidates may also:

• Hands-on technical expertise securing complex cloud environments and microservices architectures leveraging technologies like Kubernetes, Docker, and AWS / GCP.
• Exposure to offensive security techniques like vulnerability testing, bug bounty, pen testing, and red team exercises.
• Familiarity with AI/ML security risks such as prompt injection, data poisoning, model extraction, etc. and mitigations.
• Experience building security tools, applications, and automated tools.
• Solid foundational knowledge of both software and security engineering principles and are keen to continue learning.
• Excellent communication skills, able to distill complex security topics for broad audiences.
• Worked and thrived in fast-paced environments, and comfortable navigating ambiguity.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.