Machine Learning Engineer Intern

March 19

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Sayari | Commercial Risk Intelligence

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Sayari is a Commercial Risk Intelligence company that simplifies trade risk detection and provides worldwide visibility into relationships between businesses and individuals. It is built to enhance investigations by supplying comprehensive corporate and trade data to analysts and compliance teams, aiding in eliminating informational gaps. Sayari's solutions, such as Sayari Signal, illuminate commercial and supplier networks, expose hidden risks, and ensure confidence in mission-critical decisions. Trusted by regulators and major organizations like U. S. Customs and Border Protection, Sayari supports cross-border investigations and compliance with import regulations. Its services aim to reduce systemic risk through transparency and informed decision-making in global commerce and supply chains.

Financial Intelligence • Open Source Intelligence • KYC • Due Diligence • Beneficial Ownership Information

51 - 200 employees

Founded 2015

📋 Compliance

🏢 Enterprise

💰 $40M Debt Financing on 2022-02

📋 Description

• Sayari is the counterparty and supply chain risk intelligence provider trusted by government agencies, multinational corporations, and financial institutions. • Its intuitive network analysis platform surfaces hidden risk through integrated corporate ownership, supply chain, trade transaction and risk intelligence data from over 250 jurisdictions. • Our company culture is defined by a dedication to our mission of using open data to enhance visibility into global commercial and financial networks. • Sayari is seeking a Machine Learning Engineer Intern to join our growing Machine Learning team. • In this role, you will work on developing and enhancing machine learning models that power our risk intelligence platform. • This internship offers hands-on experience with real-world data on production machine learning systems at scale. • You will work closely with our Data and Product teams to build, evaluate, and release ML models and features. • Your contributions will directly impact Sayari's mission of enhancing visibility into global commercial and trade networks.

🎯 Requirements

• 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 • Preferred Qualifications: • Experience with distributed computing frameworks like Apache Spark • Familiarity with MLOps tools and practices (MLflow, model versioning, CI/CD for ML) • Knowledge of natural language processing techniques and graph algorithms • Experience in performance optimization for machine learning models and pipelines • Experience working with LLM assistants and tools

🏖️ Benefits

• A collaborative and positive culture - your team will be as smart and driven as you • Limitless growth and learning opportunities • A strong commitment to diversity, equity, and inclusion • Team building events & opportunities