Senior Computer Scientist
Tasks
- Apply preference learning reward modeling and reinforcement learning
- Define architecture for agent learning and feedback systems
- Design feedback and evaluation pipelines
- Develop prototypes and proof of concepts
- Establish architecture standards and technical direction
- Evaluate technologies for reliable scalable production
- Integrate learning layer with agent harness and execution loop
- Mentor engineers through design reviews and code reviews
- Translate business and technical goals into architecture roadmap
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Context Management | Data Pipelines | Language Models | Large Language Models | Machine Learning | Output Evaluation | 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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