Machine Learning Engineer Intern

Sayari, headquartered in Washington, D.C., is seeking a Machine Learning Engineer Intern to join their growing Machine Learning team. The company specializes in providing counterparty and supply chain risk intelligence through an intuitive network analysis platform that covers over 250 jurisdictions. This paid remote internship (20-30 hours/week) offers hands-on experience with real-world data on production machine learning systems at scale.

The role involves developing and enhancing machine learning models that power their risk intelligence platform, working closely with Data and Product teams to build, evaluate, and release ML models and features. The intern will work on trade classification, entity classification, and entity resolution, while implementing data preprocessing pipelines and feature engineering techniques.

Sayari's culture emphasizes mission dedication, innovative problem-solving, and diverse perspectives. They value cross-team collaboration, learning opportunities, and initiative. The company serves thousands of frontline analysts in over 35 countries and is trusted by government agencies, multinational corporations, and financial institutions.

The ideal candidate should be pursuing a degree in Computer Science, Data Science, or related field, with strong Python programming skills and experience with ML frameworks. Knowledge of data manipulation libraries, SQL, and fundamental machine learning concepts is essential. The company offers a collaborative culture, growth opportunities, and a strong commitment to diversity and inclusion.