Security Engineer Research Engineer, RL Security

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.

Reinforcement learning is how Claude learns to reason write code and act autonomously over long horizons. At frontier scale an RL run is a large distributed system: training sampling and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering youll work on keeping that system secure as it scales.

This is a hands-on engineering role. Youll work in the RL codebase and the infrastructure underneath it alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does so security work here has to keep up with that pace without costing performance or velocity.

Were hiring from two backgrounds: security engineers who want to work on large-scale ML systems and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other.

• Design build and operate security controls for RL training systems and the infrastructure they run on

• Work across the stack (orchestration environments training inference) wherever the work is needed

• Review designs and code across the RL stack find security problems and fix them

• Build shared libraries and tooling that other RL engineers and researchers build on

• Build the observability needed to understand what these systems are doing

• Work with researchers and performance engineers to make sure security changes preserve training correctness and performance

• Write clear design documents for what you build

• Strong software engineering skills in Python and at least one systems language such as Rust C or Go

• Experience designing building and operating large-scale distributed systems or security systems in production

• Strong understanding of security fundamentals

• Working knowledge of Linux containers and cloud infrastructure

• Experience debugging complex problems across many hosts and services

• Ability to reason about tradeoffs between security performance and reliability

• Strong written communication including design documents

• Experience running ML training or inference infrastructure at scale

• Experience with infrastructure security such as isolation access control networking or identity

• Experience with container orchestration such as Kubernetes and with sandboxed or virtualized code execution at scale

• Experience building observability for large fleets

• Experience supporting research teams or other fast-moving internal users

• Familiarity with reinforcement learning or large language model training workloads

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.