Applied AI Researcher, System Self-Improvement
Applied AI Researcher, System Self-Improvement
Applied AI Researcher, System Self-Improvement
Distyl
Distyl AI is seeking an Applied AI Researcher for their System Self-Improvement team to innovate AI-native technologies that enhance enterprise operations. The role focuses on developing self-improving architectures that autonomously evaluate and enhance their performance, contributing to significant impacts in various industries. Candidates should have a strong research background and a passion for redefining software utilization in AI.
Qualification
- Experience building feedback-driven systems that monitor, score, and adapt.
- Expertise in developing intelligent systems using models rather than just training them.
- Proven track record of research results, including publications or notable work in AI.
- Familiarity with compound AI systems and agentic collaboration techniques.
- Understanding of reinforcement learning, interpretability, and meta-optimization.
Responsibility
- Build architectures that continuously evaluate and enhance their own performance.
- Design feedback-driven systems capable of detecting weaknesses and generating corrective hypotheses.
- Implement improvements through reflection, retraining, or workflow adaptation.
- Study how systems can form self-models to understand their successes and failures.
- Explore reflective reasoning, reward modeling, and self-evaluation techniques for autonomous evolution.
