16 hours ago
Base Salary
$320k - $405k/yr
Responsibilities
- Design, build, and operate security controls for reinforcement learning training systems and their infrastructure.
- Work across orchestration, environments, training, and inference systems.
- Review RL designs and code, identify security problems, and implement fixes.
- Build shared libraries, tooling, and observability for RL engineers, researchers, and large fleets.
- Collaborate with researchers and performance engineers to preserve training correctness, performance, and reliability.
- Write clear design documents for implemented systems.
Requirements
- 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 production security systems.
- Strong understanding of security fundamentals and working knowledge of Linux, containers, and cloud infrastructure.
- Experience debugging complex problems across many hosts and services.
- Ability to reason about tradeoffs among security, performance, and reliability.
- Strong written communication, including design documentation.
- Preferred: experience with ML training or inference infrastructure, infrastructure security, Kubernetes, sandboxed or virtualized code execution, fleet observability, research-team support, reinforcement learning, or large language model training workloads.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.
Benefits
- Annual compensation is listed as $320,000—$405,000 USD.
- Anthropic offers competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space.
- The role currently follows a location-based hybrid policy requiring staff to be in an office at least 25% of the time, with some roles requiring more.
- Anthropic sponsors visas and makes every reasonable effort to obtain one if an offer is made, though sponsorship is not successful for every role or candidate.
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.