Senior Software Engineer, Reinforcement Learning Data - Anthropic

Key Responsibilities

• Design and implement high‑throughput data pipelines that feed reinforcement‑learning models.
• Architect and maintain cloud‑native infrastructure (AWS, Kubernetes) for training and inference workloads.
• Collaborate with researchers to prototype, tune, and evaluate prompt‑based RL experiments.
• Establish best practices for reliability, observability, and performance across the stack.
• Mentor junior engineers and drive technical decisions that guide the team’s long‑term roadmap.

Requirements

• 5+ years of software engineering experience, with strong Python expertise.
• Hands‑on experience building and scaling ML pipelines using frameworks such as PyTorch or TensorFlow.
• Proficiency with cloud services (AWS) and container orchestration (Kubernetes) in production environments.
• Solid understanding of distributed systems and performance optimization.
• Background in reinforcement learning or large‑scale AI research is highly desirable.