Applied Research Engineer, Agents at Labelbox

The Applied Research Engineer will shape the data landscape for advancing capable, adaptable agents by designing agent-focused data programs using SFT and RL methodologies. They will create frameworks and tools to construct, train, benchmark, and evaluate autonomous agent capabilities, and develop data pipelines from diverse sources like code repositories, web browsers, and computer systems. Responsibilities include implementing and adapting open-source agent libraries and benchmarks with proprietary datasets and models, engaging with research teams and the AI community to understand evolving agent data needs, and collaborating with customers to guide model development. The engineer will also publish research findings and turn prototypes into reliable, scalable features.