Job Title: Security Labs Engineer
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.
About the Role
Security at Anthropic is not a compliance exercise. It is a core part of how we stay safe as we build increasingly capable systems. Our Responsible Scaling Policy commits us to launching structured security R&D projects: ambitious, time-boxed experiments designed to resolve high-uncertainty questions about our long-term security posture.
Each project runs for roughly 6 months with defined exit criteria. Some will succeed and move toward production. Others will fail, and we'll treat that as useful signals. The questions these projects are designed to answer include:
- Can our core research workflows survive extreme isolation?
- Can we get cryptographic guarantees where we currently rely on trust?
- Can AI become our most effective security control?
As a Security Labs Engineer, you own one or more projects end-to-end: scoping the experiment, building the infrastructure, coordinating across teams, running the pilot, documenting results, and where the experiment succeeds, helping scale it into production. This is 0-to-1 and 1-to-10 work.
Current Project Areas
The portfolio evolves based on what we learn. Current areas include:
- Designing and operating a mock high-assurance research environment: simulating what our infrastructure would look like under extreme isolation and physical security controls, with real measurement of productivity impact
- Exploring cryptographic verification of model integrity using techniques like zero-knowledge proofs to provide mathematical guarantees about what is running in production
- Assessing the feasibility of confidential computing across the full model lifecycle (note: this is an open question, not a committed roadmap item)
- Piloting AI-assisted security tooling including vulnerability discovery, automated patching, anomaly detection, and adaptive behavioral monitoring
- Prototyping API-only access regimes where even internal research workflows never touch raw model weights
Part of your job is helping shape what comes next based on gaps uncovered in the current round.
Responsibilities
- Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results
- Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast
- Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result.
- Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break
- Evaluate and integrate emerging security technologies through coordination with external vendors and research groups
- Turn experimental results into clear, decision-ready writeups that inform Anthropic's long-term security architecture and RSP commitments
- Maintain a pain-point registry and feasibility assessment for each project, feeding directly into the design of production high-assurance environments
- Help scope and prioritize the next wave of Labs projects based on what the current round uncovers
Requirements
- 7+ years of software or security engineering experience, with a solid foundation in production systems
- Some of that time spent on pilots, prototypes, or applied research work where shipping a working answer to a hard question was the explicit goal
- Strong programming skills in Python and at least one systems language (Go, Rust, or C/C++)
- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and networking fundamentals sufficient to stand up and tear down isolated environments quickly
- A track record of cross-functional execution: you can walk into a room with ML researchers, infrastructure engineers, and vendors and leave with a shared plan
- Clear written communication: you know how to turn six weeks of experimentation into a two-page memo someone can act on
- Comfort with ambiguity and iteration, having run experiments that failed, extracted the lesson, and moved forward
- Genuine curiosity about what it would actually take to defend against a nation-state-level adversary
- Passion for AI safety and a real understanding of the role security plays in making frontier AI development go well
- Bachelor's degree in Computer Science, a related field, or equivalent industry experience required.
Preferred Qualifications
- Prior experience in offensive security, red teaming, or security research, having thought adversarially about systems and knowing which threats actually matter
- Familiarity with airgapped or high-side environments (classified networks, ICS/SCADA, financial trading infrastructure, or similar) and the operational realities of working inside them
- Knowledge of applied cryptography: zero-knowledge proofs, attestation protocols, secure enclaves, TPMs, or confidential computing primitives
- Experience with ML infrastructure (training pipelines, inference serving, model packaging) sufficient for grounded conversations with researchers about what their workflows actually need
- Background building or operating security systems in environments that demand rapid iteration rather than rigid change control
- Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal
Location
This role is based in our San Francisco office (500 Howard St). Several Labs projects involve physical secure facilities on-site, so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline.
What We Offer
- Competitive salary and equity package
- Comprehensive health insurance and retirement plans
- Flexible work arrangements, including remote work options
- Professional development opportunities, including training and conference attendance
- Collaborative and dynamic work environment
- Access to cutting-edge technology and resources
- Opportunity to work on challenging and impactful projects
- Recognition and rewards for outstanding performance
If you're excited about the opportunity to join our team and contribute to the development of secure and beneficial AI systems, please submit your application. We can't wait to hear from you!
Deadline to Apply
None, applications will be received on a rolling basis.
Annual Compensation Range
$405,000 – $485,000 USD
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 the process.
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