Job Summary
This role focuses on creating post-training recipes by refining datasets and hyperparameters to enhance the behavior and performance of machine learning models. The successful candidate will also establish thorough evaluation frameworks to verify that the outputs of the models meet user expectations and organizational objectives.
Responsibilities
- Develop and optimize post-training recipes utilizing datasets and hyperparameters.
- Create and implement evaluation frameworks to validate model outputs against business requirements.
- Iterate on machine learning practices to improve model alignment and user satisfaction.
- Analyze experimental data to extract meaningful insights and drive decision-making.
Qualifications
- A robust background in machine learning systems, focusing on post-training processes.
- Expertise in alignment and preference modeling.
- Strong understanding of probability and statistics.
- Ability to analyze data and derive actionable insights from experiments.
