Machine Learning Engineer Intern

Sayari is a counterparty and supply chain risk intelligence provider trusted by government agencies, multinational corporations, and financial institutions.
$41,600 - $52,000
Machine Learning
Software Engineering Intern
Remote
AI

Description For Machine Learning Engineer Intern

Sayari, a leading counterparty and supply chain risk intelligence provider, is seeking a Machine Learning Engineer Intern to join their growing ML team. Based in Washington, D.C., Sayari provides critical intelligence solutions used by thousands of analysts across 35 countries.

The role offers a unique opportunity to work on developing and enhancing machine learning models that power their risk intelligence platform. As an intern, you'll gain hands-on experience with real-world data and production machine learning systems at scale. You'll be working directly with Data and Product teams to build, evaluate, and release ML models and features that impact Sayari's mission of enhancing visibility into global commercial and trade networks.

The position requires strong Python programming skills and experience with major ML frameworks. You'll be involved in various aspects of the ML pipeline, from data preprocessing to model deployment. The company offers a collaborative culture where you'll work alongside smart, driven professionals who are passionate about solving complex problems.

Sayari stands out for its commitment to diversity and inclusion, ensuring a workplace that reflects the diversity of the United States. They offer competitive hourly compensation ($20-$25/hour) and provide numerous opportunities for growth and learning. The company's culture emphasizes cross-team collaboration, continuous learning, and rewards initiative and innovation.

This internship is perfect for students pursuing technical degrees who want to apply their ML knowledge to real-world challenges while working with supportive, high-performing teams. You'll contribute to meaningful projects while developing your skills in a professional environment that values diverse perspectives and innovative thinking.

Last updated 11 days ago

Responsibilities For Machine Learning Engineer Intern

  • Develop and improve machine learning models for trade classification, entity classification, and entity resolution
  • Implement data preprocessing pipelines and feature engineering techniques
  • Evaluate model performance using appropriate metrics and validation techniques
  • Collaborate with data engineers to integrate ML models into production systems
  • Research and experiment with new machine learning approaches to solve complex problems

Requirements For Machine Learning Engineer Intern

Python
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related technical field
  • Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Understanding of fundamental machine learning concepts and algorithms
  • Experience with data manipulation libraries (pandas, NumPy) and SQL
  • Strong analytical and problem-solving skills with excellent communication abilities

Benefits For Machine Learning Engineer Intern

  • Collaborative and positive culture
  • Limitless growth and learning opportunities
  • Strong commitment to diversity, equity, and inclusion
  • Team building events & opportunities

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