# Hyperparameter Tuning

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/hyperparameter-tuning

Hyperparameter tuning is the process of finding the optimal configuration settings (such as learning rate, batch size, or number of layers) for a machine learning model that are not learned from data but set before training. Data scientists and machine learning engineers use techniques like grid search, random search, and Bayesian optimization to improve model performance and generalization. It's a critical step in the ML development lifecycle that can significantly affect accuracy and training efficiency.

## Roles that use Hyperparameter Tuning

- [Software Engineer](https://career.thegoodapps.co/occupations/software-engineer) — 1

Related skills: [scikit-learn](https://career.thegoodapps.co/skills/scikit-learn), [Model Training](https://career.thegoodapps.co/skills/model-training), [Determined AI](https://career.thegoodapps.co/skills/determined-ai), [Ray/Anyscale](https://career.thegoodapps.co/skills/ray-anyscale), [Automated Machine Learning (AutoML)](https://career.thegoodapps.co/skills/automated-machine-learning-automl), [Machine Learning Methods](https://career.thegoodapps.co/skills/machine-learning-methods), [Genetic Algorithm](https://career.thegoodapps.co/skills/genetic-algorithm), [Model Optimization](https://career.thegoodapps.co/skills/model-optimization), [ML Model Evaluation](https://career.thegoodapps.co/skills/ml-model-evaluation)

## Open roles requiring Hyperparameter Tuning (1)

- [Senior AI Software Engineer, Reinforcement Learning](https://career.thegoodapps.co/jobs/c1d2c3ef-7b22-40bb-8a49-69078a262928/senior-ai-software-engineer-reinforcement-learning-at-agility-robotics) at [Agility Robotics](https://career.thegoodapps.co/organizations/agility-robotics) — Full-time, Fremont, CA, $187,000 – $292,000