ML Intern

Clera; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Clera is seeking a Machine Learning Engineer in the United States to advance our language-model initiatives. You will experiment with model configurations, build data pipelines, and evaluate performance to drive product improvements.

The role requires hands-on Python ML work, familiarity with PyTorch or TensorFlow, and experience with NLP, prompt design, and model evaluation. Join a fast-moving team shaping next-gen AI products at Clera.

Qualifications

• Degree in computer science, data science, engineering, mathematics, or equivalent practical experience.
• Hands-on experience building or training ML models with Python.
• Familiarity with PyTorch, TensorFlow, or scikit-learn.
• Knowledge of machine learning, statistics, and model evaluation.
• Familiarity with large language models, NLP, and prompt design or tuning.
• Experience building ML data pipelines and analyzing model performance metrics.

Responsibilities

• Experiment with language model configurations to find optimization opportunities.
• Build and maintain data pipelines for model training and evaluation.
• Analyze performance metrics to assess model quality and efficiency.
• Contribute to internal tools that monitor and optimize model behavior.
• Apply current ML and language model research to product improvements.

Skills

Python

NLP

ML model development

Data pipelines

Model evaluation

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Responsibilities

• Experiment with language model configurations to find optimization opportunities


• Build and maintain data pipelines for model training and evaluation


• Analyze performance metrics to assess model quality and efficiency


• Contribute to internal tools that monitor and optimize model behavior


• Apply current ML and language model research to product improvements

Requirements

• Degree in computer science, data science, engineering, mathematics, or equivalent practical experience


• Hands-on experience building or training ML models with Python


• Familiarity with PyTorch, TensorFlow, or scikit-learn


• Knowledge of machine learning, statistics, and model evaluation


• Familiarity with large language models, NLP, and prompt design or tuning


• Experience building ML data pipelines and analyzing model performance metrics

Preferred Qualifications

• Experience contributing to tools or monitoring systems for model performance