ML Infra Engineer for AI Safeguards & Research Tools

Society for AI Security; United States; Hybrid; USD 150,000 - 230,000; Full time

Job summary

Anthropic is seeking an engineer for the Safeguards infrastructure, bridging research and production. You will own the data pipelines, training/evaluation workflows, and tooling that researchers rely on to run experiments and validate model safety at scale.

The role emphasizes building robust, production-grade systems, handling large-scale ML workloads, and collaborating across research and engineering teams to ensure dependable, trustworthy results as models evolve.

Qualifications

• Strong software engineering fundamentals
• Experience with large-scale ML systems
• Proficiency in Python and distributed systems

Responsibilities

• Build and scale infrastructure for Safeguards ML research
• Own training, evaluation, and scoring workflows for researchers
• Design tooling and interfaces for researchers to use
• Ensure correctness and reliability as models evolve
• Improve throughput and reliability of large-scale inference workflows
• Collaborate with researchers and engineers across Safeguards discipline

Skills

Python

Distributed systems

Research tooling

Collaboration

Job description

Anthropic is seeking an engineer for the Safeguards infrastructure, bridging research and production. You will own the data pipelines, training/evaluation workflows, and tooling that researchers rely on to run experiments and validate model safety at scale.

The role emphasizes building robust, production-grade systems, handling large-scale ML workloads, and collaborating across research and engineering teams to ensure dependable, trustworthy results as models evolve.