Distyl AI
Applied AI Researcher, System Self-Improvement
$150K–$250K
San Francisco +1 · Hybrid · Full-time · Posted Oct 16, 2025
- Location
- San Francisco
New York
About the job
Research and build AI systems that evaluate their own performance, identify weaknesses, and improve through reflection, retraining, or workflow adaptation.
What you'll do
- Design feedback-driven systems that detect weaknesses and implement improvements.
- Study self-modeling, reflective reasoning, reward modeling, and self-evaluation for autonomous system evolution.
- Build prototypes and run experiments to demonstrate system effectiveness.
What they ask for
- Experience building or studying feedback-driven systems that monitor, score, and adapt.
- Strong programming and data analysis skills to prototype ideas and run experiments.
- A track record of research results or other notable work.
- Experience using models to build intelligent systems, rather than training or fine-tuning models.
Nice to have
- Expertise in compound AI systems, agentic collaboration, and techniques such as ensembling, ReAct, or graph-of-thoughts.
- Regular use of AI tools such as ChatGPT, Cursor, and Perplexity.
Pay
$150K – $250K USD base salary
Tools
ChatGPT, Cursor, Perplexity, ReAct, graph-of-thoughts
AI focus
Develop continuously improving AI systems using feedback, reflection, self-evaluation, reward modeling, and related approaches.
Model-written summary · the original posting is authoritative