Applied AI Researcher, System Self-Improvement

The role

Researchers design feedback-driven architectures that continuously evaluate and enhance their own performance. This work involves studying self-models, reflective reasoning, and reward modeling to enable autonomous evolution in enterprise systems.

What you will do

• 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
• Explore reflective reasoning, reward modeling, and self-evaluation techniques
• Bridge reinforcement learning, interpretability, and meta-optimization

Required qualifications

• Experience building or studying systems that monitor, score, and adapt
• Experience building with models, including expertise in compound AI systems, agentic collaboration, and associated techniques
• Proven track record of research results
• Uses AI tools like ChatGPT, Cursor, and Perplexity every day
• Strong programming and data analysis skills to build prototypes and perform experiments
• Bias towards showing vs telling

Nice to have

• Published in top journals
• Posted work on twitter

Benefits

• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible time off
• Retirement and financial planning benefits including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
• Comprehensive wellness benefits including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
• Complimentary in-office lunches and snacks
• Access to state-of-the-art AI models
• Generous usage of modern AI tools
• Real-world business problems
• Ownership of high-impact projects across top enterprises

About the company

Distyl is an applied AI technology company partnering with large institutions to rearchitect critical operations. They research and deploy technologies that power AI-native operations for partners and themselves.