Description
Invisible is hiring a Research Engineer to build reinforcement learning evaluation methodology, benchmarks, scoring frameworks, rubrics, evaluation architectures, and production systems for frontier labs and enterprise clients. The role involves designing reproducible evaluation approaches, writing production-quality Python and machine learning code, maintaining data pipelines, analyzing results, and collaborating with research scientists, solutions architects, and machine learning software engineers. The position reports to a Lead Research Engineer or, at Principal level, directly to the VP of Research.
