Member of Technical Staff - Applied RL
About Vmax
Vmax is an applied research lab developing AI capable of open-ended learning. We are building systems to exceed humans in all capacities by optimising beyond the local maxima of learning from human expertise.
About the role
This role is for exceptional ML engineers who can turn RL research ideas into working training systems, evals, environment and rewards. You will work across research and engineering to make post-training methods reliable, measurable, and fast to iterate on.
Responsibilities
Build and improve RL training pipelines for language model based agents.
Translate research ideas into working implementations, including reward functions, verifiers, environment interfaces, rollout pipelines, and evaluation harnesses.
Design experiments that test whether RL methods are actually improving model behavior, sample efficiency, robustness, or generalization.
Create quality monitoring tools for RL experiments, including regression tests, eval suites, and reward-hacking checks.
Debug unstable training runs, diagnose poor learning dynamics, and identify whether failures come from algorithms, rewards, data, infrast
