Applied AI Researcher, System Self-Improvement
Core
Design feedback-driven AI systems that continuously evaluate, detect weaknesses, and implement self-improvements through reflection and retraining to compound capabilities.
Role type
Senior IC applied AI researcher (system self-improvement)
Builds
Autonomous, self-evolving AI architectures for enterprise operations
Domain
Enterprise AI, Reinforcement Learning, Meta-optimization
Deliverable
production ML models
Required skills
Building feedback-driven systems, Compound AI systems, Agentic collaboration, Reflective reasoning, Reward modeling, Self-evaluation techniques, Prototyping, Data analysis
Preferred skills
Experience with ensembling, ReAct, graph-of-thoughts, Top-tier research publications, Daily AI tool usage
Technologies
ChatGPT, Cursor, Perplexity
Responsibilities
Design systems that detect weaknesses and generate corrective hypotheses, Study self-model formation and reflective reasoning, Bridge reinforcement learning and interpretability for autonomous evolution, Build prototypes to prove effectiveness to enterprise stakeholders
Seniority
Senior, hands-on IC
