Research Engineer, Production Model Post-Training
Tasks
- Debug training pipeline and model behavior
- Design model fine tuning and evaluation pipelines
- Develop post training recipes for quality improvements
- Establish reproducible post training best practices
- Implement post training techniques at scale
- Measure model performance dimensions
- Translate research techniques into production implementations
Perks/Benefits
- Flexible working hours
- Generous vacation
- Hybrid work option
- Optional equity donation matching
- Parental leave
Skills/Tech-stack
Deep learning | Distributed Training | Fine Tuning | High Performance | High-Performance Computing | Human Feedback | Machine Learning | Machine Learning Pipelines | Model Alignment | Model Evaluation | Performance Computing | Python | Reinforcement Learning | Reinforcement Learning with Human Feedback
Education
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