Ramp Labs is Ramp’s AI research group. It post-trains models on finance work, builds the environments and evaluations used for learning, and ships those models into Ramp products. The Research Engineer will own Ramp’s benchmarking effort, turning real finance work—including expense policy review, invoice coding, month-end close, and spreadsheet Q&A—into benchmarks and reinforcement-learning environments. The role includes building graders and determining what is actually improving across models and agents. The benchmarks inform model routing, post-training decisions, and whether agents are ready to perform consequential financial tasks without human oversight. The work spans long-horizon agents operating across tools and systems, tool use, multi-step reasoning, and financial judgment. The role also connects evaluations to post-training, identifies reward hacking and contamination, and may produce external benchmarks and publications.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed