[Hiring] ML Intern @Clera

Role Description

Join a machine learning team focused on improving large language model efficiency and quality. You will help develop and evaluate approaches that reduce token usage while maintaining strong output quality.

• 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 current machine learning and language model research and apply relevant findings to product improvements.

Qualifications

• 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.

Location

Remote, full-time.