Applied AI Researcher, System Self-Improvement
Tasks
- Bridge reinforcement learning interpretability and meta optimization
- Build AI native prototype systems
- Design feedback driven self improving AI systems
- Develop self model based reasoning systems
- Generate corrective hypotheses
- Implement evaluators and scoring loops
- Implement improvements via reflection and retraining
- Run experiments to evaluate effectiveness
- Study self evaluation and reward modeling
Perks/Benefits
Skills/Tech-stack
Agentic collaboration | Data Analysis | Ensembling | Evaluation | Graph-of-Thoughts | Interpretability | Language Processing | Machine Learning | Meta Optimization | Natural Language | Natural Language Processing | Prototyping | React | Reinforcement Learning | Retraining | Reward Modeling | Self-evaluation | Workflow adaptation
Education
Roles
AI Researcher | Applied AI Researcher | Research Scientist | Researcher | Scientist
Regions
Countries
States
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