Research Engineer, Post-Training (All Industry Levels)
Tasks
- Build data pipelines
- Design sampling algorithms
- Develop alignment algorithms
- Develop loss functions
- Identify quality signals
- Improve model performance
- Improve training methods
- Process web data for model ingestion
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Alignment algorithms | B testing | Cloud Computing | Data Infrastructure | Data Pipelines | Distributed Training | Docker | GPUs | Kubernetes | Loss Functions | Machine Learning | Machine learning deployment | Model Experimentation | Model Orchestration | Reinforcement Learning | Transformers
Education
Regions
Countries
States
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