Week 2024-W17

Anthropic· 3 roles

• Research Engineer, Interpretability Post-train · Research 10
  Research Engineer focused on mechanistic interpretability to understand and improve the safety of large language models. This involves implementing and analyzing experiments, optimizing research workflows, building tools for experimentation, and developing infrastructure to support model safety improvements.
• Research Engineer, Agents Agent · Research 9
  Research Engineer focused on advancing agentic AI systems, involving finetuning Claude for agentic tasks, developing tools for agents (memory, communication), prompt engineering, automated evaluation, and optimizing data mixes for model training. The role also involves creating and maintaining infrastructure for prompt iteration and testing.
• Research Engineer, Knowledge Team Agent · Research 9
  Research Engineer focused on redesigning how LLMs interact with external data sources by designing new information architectures and training models to use them. Responsibilities include implementing information architecture strategies, performing finetuning and RL, building knowledge base eval sets, and designing agentic search capabilities. Requires strong Python, ML research experience, and experience with LLMs. Experience with complex agentic systems, RAG, and distributed information retrieval is a plus.