Research Engineer (RL Environment)

Overview

Agents do not improve in a vacuum. They need environments to operate in, tasks to solve, and clear signals for what good looks like. This role exists to build that layer.

This is a VC-backed challenger lab building state-of-the-art computer‑use agents. Recent progress has made performance highly competitive on computer‑use style benchmarks, and the company has launched a more visible product layer to make the technology easier to demonstrate.

The team you'd be joining builds the playground itself: synthetic websites, structured workflows, task sets, and evaluation environments where agents can act, fail, retry, and learn.

Responsibilities

• Build training and evaluation environments for agentic systems.
• Create synthetic websites, workflows, and task suites that reflect useful real‑world work.
• Define reward signals and success criteria for agent behavior in structured environments.
• Turn document...