Machine Learning Engineer Intern

About Sayari: 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. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in over 35 countries.
Our company culture is defined by a dedication to our mission of using open data to enhance visibility into global commercial and financial networks, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you.
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.

Job Responsibilities:

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• 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

Skills & Experience:

• 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

What We Offer: ·       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 Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply.