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. This paid remote internship (20-30 hours/week) offers an exciting opportunity to work on real-world machine learning systems at scale.

The company provides intuitive network analysis platforms that surface hidden risk through integrated corporate ownership, supply chain, trade transaction, and risk intelligence data from over 250 jurisdictions. Their solutions are trusted by government agencies, multinational corporations, and financial institutions, serving thousands of frontline analysts across 35+ countries.

As an ML Engineer Intern, you'll be directly involved in developing and enhancing machine learning models that power their risk intelligence platform. You'll work on challenging problems including trade classification, entity classification, and entity resolution, while collaborating closely with Data and Product teams to build, evaluate, and release ML models and features.

The role requires strong Python programming skills and experience with ML frameworks, along with a solid understanding of fundamental machine learning concepts. You'll get hands-on experience with data preprocessing, feature engineering, model evaluation, and production system integration. The position is ideal for students pursuing degrees in Computer Science, Data Science, or related fields who want to apply their theoretical knowledge to real-world problems.

Sayari offers a collaborative culture where you'll work with smart, driven professionals who are passionate about using open data to enhance visibility into global commercial and financial networks. The company strongly values diversity and inclusion, creating an environment where different perspectives are celebrated and innovation is encouraged.