Vmax is automating reinforcement learning. We transform proprietary data and evals into new sets of environments. We refine agents on new examples of the tasks they are intended to perform. Backed by South Park Commons.
About the role
A core focus of ours is agents that can learn to find their own objectives in the world. We are looking for researchers to design and build new ways of using RL where the formulation of rewards and tasks need to be discovered, rather than given.
What they're looking for
- PhD or equivalent experience in machine learning, reinforcement learning, artificial intelligence, or a closely related field
- Track record of strong technical work, demonstrated through publications, open-source projects, deployed systems, competitions, or equivalent contributions
- Deep understanding of reinforcement learning
- Strong interest in open-ended learning
- Experience with LLM post-training
- Strong empirical research ability, including designing experiments, choosing meaningful baselines, running ablations, and diagnosing unexpected results
More about this role
V max 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.
A core focus of ours is agents that can learn to find their own objectives in the world. We are looking for researchers to design and build new ways of using RL where the formulation of rewards and tasks need to be discovered, rather than given.
- Develop RL methods for agents that can discover useful objectives, tasks and curricula without relying entirely on human-specified rewards.
- Design systems for open-ended learning, including unsupervised/automated environment design, asymmetric self-play, and intrinsic motivation.
- Build training loops where agents learn from interaction, exploration, novelty, competence progress, self-generated challenges, or other nonstandard reward signals.
- Investigate how agents can avoid collapse into trivial, degenerate, or easily exploitable objectives.
- Own and develop a research agenda within Vmax, from identifying promising directions to executing experiments and communicating results.
- PhD or equivalent experience in machine...
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