Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers

Drive quality in agent behavior, both in terms of increasing utility for end users and decreasing misbehavior in the customer business environment

Take on exciting and difficult challenges in AI harness engineering, such as agent cognitive architecture, eval benchmark creation, context engineering, generative UI, dynamic agent orchestration, multimodal I/O, multilinguality, conversational memory management, reasoning strategies, abstractive summarization, grounding and verifiability for generated text, deployment safety, and self-learning

Read, discuss, and build on the latest ML/LLM research and open-source repositories and models

Research and develop innovative, scalable and dynamic solutions to hard problems

Use your knowledge of machine learning fundamentals and LLMs to make improvements to the agentic harness and its AI components, evaluate them with small scale experiments and productionize your solutions at scale

Partner closely with web and chat platform engineering teams to turn harness investments into delightful user experiences that wow我们的customers