Senior Computer Scientist
Tasks
- Apply reinforcement learning and preference learning techniques
- Conduct architecture reviews and code reviews
- Define Learning Layer integration with agent execution loop
- Define architecture for agent learning and feedback systems
- Design evaluation and feedback pipelines
- Develop prototypes and proof of concepts using AI models and agent frameworks
- Establish architecture standards and technical direction
- Mentor engineers and provide technical documentation
- Translate business objectives into architecture strategy and roadmap
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud Computing | Context Management | Data Pipelines | Evaluation systems | JavaScript | Language Models | Large Language Models | ML Experimentation | Machine Learning | Preference Learning | Python | RLHF | Recommender Systems | Reinforcement Learning | Reward Modeling | State management | Tool-Calling
Education
N/A
Regions
Countries
States
Cities
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