Vacancy Description
Job Responsibilities
- Design and implement LLM-agent pipelines that synthesize and iteratively refine executable programs to complete tasks in an interactive simulated testbed (e.g. Stardew Valley), using execution-trace and human feedback for refinement.
- Investigate multi-program, long-horizon planning: plan decomposition and refinement, and amortization/library learning of reusable program components.
- Report project progress regularly to the PI and help scope next milestones.
- Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
- First-hand experience in neuro-symbolic methods such as code generation, library learning (e.g. DreamCoder), etc.
- Independent, highly analytical, proactive and a team player.
- Excellent teamwork and verbal, written communication skills.
- In-depth knowledge relevant to the project domain.
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