1 day ago
Remote, WorldwideIntern
Responsibilities
- Experiment with language model configurations to identify optimization opportunities.
- Build and maintain data pipelines for model training and evaluation workflows.
- Analyze performance metrics to assess model quality and efficiency.
- Contribute to internal tools that monitor and optimize model behavior.
- Follow machine learning and language model research and apply relevant findings to product improvements.
Requirements
- A degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.
- Hands-on experience building or training machine learning models with Python and frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Knowledge of machine learning, statistics, model evaluation, and optimization techniques.
- Familiarity with large language models, natural language processing, and prompt design or tuning.
- Experience building machine learning data pipelines and analyzing model performance metrics.
- Experience contributing to tools or monitoring systems for tracking model performance is helpful.
Benefits
- Remote, full-time position.