Vmax
Technology
MemberofTechnicalStaffOpenEndedness
“Member of Technical Staff - Open Endedness at Vmax. Skills: Open-ended learning, Reinforcement Learning, AI research. Develop RL methods for agents. Discover useful objectives”
Industry & Context.
Ambiguous research problems; Turn high-level ideas into experiments
What They're Looking For.
Must Have
PhD or equivalent experience, Track record of technical work, Deep understanding of RL, Interest in open-ended learning, Experience with LLM post-training, Programming ability in Python, Experience with PyTorch or JAX, Ability to work independently, Ability to collaborate effectively, Clear written and verbal communication
Nice to Have
Experience with open-ended learning, Experience with automatic curriculum generation, Experience with intrinsic motivation, Experience with self-play, Experience with goal-conditioned RL, Experience with unsupervised skill discovery, Experience with multi-agent RL, Experience with quality-diversity, Experience with evolutionary methods, Familiarity with POET, Familiarity with population-based training, Familiarity with multi-agent RL, Experience designing benchmarks, Experience designing evals, Demonstrated taste for identifying research directions
What You'll Do.
Develop RL methods for agents
Discover useful objectives
Design systems for open-ended learning
Investigate agent objective collapse
Own and develop research agenda
Identify promising directions
How You'll Work.
Team & Collaboration
Collaborate with researchers; Collaborate with engineers
Communication Scope
Written communication; Verbal communication; Technical ideas communication; Results communication; Tradeoffs communication; Risks communication
Process & Methodology
Research agenda management
Applying for this Member of Technical Staff - Open Endedness role?
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