Senior Applied Scientist, AGI Customization
Tasks
- Create evaluation frameworks for model performance
- Design and implement enterprise tooling on Amazon SageMaker
- Develop Responsible AI training and evaluation datasets
- Develop model customization techniques
- Develop preference learning algorithms and training curricula
- Execute experiments to optimize model accuracy latency and cost
- Implement secure access for model checkpoints and weights
- Present technical results to technical and non technical stakeholders
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | C++ | Deep learning | Distributed Systems | Experiment design | Fine Tuning | Hadoop | Java | Knowledge Distillation | Machine Learning | Model Evaluation | Neural Networks | NumPy | Preference Learning | PyTorch | Python | Reinforcement Learning | Responsible AI | SciPy | Scikit-learn | Spark | Spark MLlib | Supervised Fine Tuning | TensorFlow
Education
Roles
Regions
Countries
States
Cities
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