Cerebro

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning
Are you passionate about advancing the frontiers of
reinforcement learning (RL)
? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques—especially where they intersect with large models and environment generation.
About the Role
As an
AI Research Scientist
focused on RL, you will:
<ul>
<li>Develop novel optimization-based methods
for automated RL environment generation</li>
<li>Establish baselines
for evaluating the quality and diversity of RL environments</li>
<li>Design infrastructure
to create dynamic environments from historical datasets and agent evaluations</li>
<li>Drive your own research agenda
, contributing directly to the progress of our platform and the broader AI community</li>
</ul>
What We’re Looking For
<ul>
<li>PhD (or equivalent experience)
in machine learning, computer science or a related field</li>
<li>Strong publication record
and/or evidence of research impact (open source, deployed systems, etc.)</li>
<li>Deep expertise
in reinforcement learning and machine learning fundamentals</li>
<li>Proficient in Python
and at least one modern ML framework (such as PyTorch or JAX)</li>
</ul>
Bonus Points
<ul>
<li>Experience with
post-training large language models (LLMs)</li>
<li>Demonstrated
software engineering skills</li>
<li>Ability to
communicate research findings
effectively to both technical and non-technical audiences</li>
</ul>

research scientist - RL

research scientist - RL

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