Research Engineer (RL Environment)
Research Engineer (RL Environment)
Abou
t
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 laye
r.
This is a VC-backed challenger lab building state-of-the-art computer-use agen
ts.
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 demonstr
ate.
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 l
earn.
What you
- ’ll doBuild training and evaluation environments for agentic s
- ystemsCreate synthetic websites, workflows, and task suites that reflect useful real-worl
- d workDefine reward signals and success criteria for agent behaviour in structured enviro
- nmentsTurn documentation, tools, and existing workflows into interactive agent
- tasksImprove the realism, coverage, and difficulty of training environments ove
- r timePartner with research teams to convert product failures into better environments and
- tasksBuild internal tooling to generate, run, and measure large task sets re
liably
What you’
- ll needStrong software engineering skills, ideally in Python plus web or backend
- systemsExperience with RL, reward design, or synthetic data gen
- erationExperience building internal tools, simulations, evaluation systems, or synthetic envir
- onmentsAbility to structure ambiguous workflows into clear tasks with measurable o
- utcomesGood product instinct for what makes an environment realistic and useful for
- agentsComfort working at the intersection of engineering, research, and experime
- ntationHigh ownership and a practical
mindset
Shortlisted candidates will be contacted within 4