Week 2025-W13

Anthropic· 5 roles

• Machine Learning Systems Engineer - Data & Evaluation, Horizons Agent · Engineering 9
  Machine Learning Systems Engineer on the Horizons team, focusing on building software infrastructure for AI models to use tools effectively and measure performance. This involves extending the agent framework, creating evaluations, managing training data pipelines, and applying data science techniques to improve model capabilities. The role combines software development with empirical analysis to advance model performance and capabilities, working closely with research and production teams.
• Machine Learning Systems Engineer - Infrastructure & Runtime, Horizons Data · Engineering 9
  Machine Learning Systems Engineer focused on building and maintaining foundational infrastructure for AI research, specifically for reinforcement learning, agentic AI, and model evaluation. The role involves designing data pipelines, creating secure execution environments, optimizing distributed computing infrastructure, and translating research requirements into scalable systems.
• Research Engineer, Reward Models Post-train · Research 9
  Research Engineer focused on developing and implementing novel reward modeling architectures and techniques to align AI systems with human values and advance AI capabilities. The role involves optimizing training and data pipelines, collaborating on integrating advances into production systems, and communicating research progress.
• Machine Learning Engineer, Safeguards Research Post-train · Engineering 9
  Machine Learning Engineer focused on safeguards research, bridging research and engineering. This role involves developing end-to-end pipelines and ML systems for safety research, including training/fine-tuning models, building scalable infrastructure for evaluation, implementing efficient training pipelines, and creating automated systems to understand and mitigate AI risks. The role requires strong ML fundamentals, engineering practices, and experience with Python, ML frameworks, and LLMs.
• Technical Curriculum Engineering Lead Post-train · Engineering 7
  This role focuses on creating technical educational content and demos for Anthropic's AI models, translating complex AI concepts into practical learning experiences for developers. It involves partnering with research and product teams to showcase Claude's capabilities and influence user education strategy.