Applied AI Researcher, System Self-Construction
Core
Design architectures for autonomous systems that generate, assemble, and refine sub-systems using meta-learning and program synthesis.
Role type
Applied AI Researcher (System Self-Construction)
Builds
Self-constructing systems, meta-learning loops, automated pipeline generation, self-architecting frameworks
Domain
Applied AI, System Architecture, Meta-learning, Program Synthesis
Deliverable
production ML models
Required skills
Meta-learning, Program synthesis, Evolutionary computation, Agentic collaboration, Compound AI systems, Graph-based planning, Automated pipeline building, Prototype development, Data analysis
Preferred skills
Experience with ReAct, Graph-of-thoughts, Ensembling, Twitter research presence, Daily AI tool usage (ChatGPT, Cursor, Perplexity)
Technologies
Graph-based planners, Agent orchestration frameworks, Workflow engines, Modern AI tools
Responsibilities
Design architectures capable of autonomously generating and refining sub-systems; Study recursive design principles for self-referential system evolution; Develop frameworks to reduce human bottlenecks in complex system creation; Build prototypes to prove effectiveness of ideas
Seniority
Senior, hands-on IC