Applied AI Researcher creating feedback-driven systems for continuous AI self-improvement. Collaborating with a team to push the edge of AI utilization in enterprise solutions.
Responsibilities
The System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance
Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation
Researchers in Self-Improvement study how systems can form self-models—understanding when, why, and how they succeed or fail
They explore reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution
Requirements
Experience Building Feedback-Driven Systems
Experience Building with Models, Not Just Building Models
Proven Track Record of Research Results
Uses AI Every Day
Strong Programming and Data Analysis Skills
Biases Towards Showing vs Telling
Benefits
Competitive salary and benefits package, including equity options
Medical/dental/vision covered at 100% for you and your dependents
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