Spring 2027 AI Applied Research Internship

📋 Description

• Take models from raw data to production: source, clean, and explore data, then build, evaluate, and
• Build ML pipelines and manage experiments and models with MLflow, Kubeflow, or SageMaker.
• Build forecasting and time-series models for megaproject cost, schedule, and risk.
• Own the full lifecycle and production monitoring, including drift detection and retraining triggers.
• Establish model evaluation and validation so results stay accurate and audit-ready.
• Willing and able to work on-site in Washington DC, five days a week, for the full six-month term.

🎯 Requirements

• Currently enrolled in a BS or MS in Computer Science, Data Science, Statistics, Applied Math, or a
• Strong Python and the ML data stack (pandas, NumPy, scikit-learn).
• Hands-on experience building ML pipelines and evaluating models; comfortable with time-series or
• This position requires U.S. export controls compliance; U.S. Person status is required and TNC does
• Preferred Experience: MLflow, Kubeflow, or SageMaker; SQL and relational data modeling

🎁 Benefits

• Competitive compensation packages
• 401k with company match
• Medical, dental, vision plans
• Generous vacation policy, plus holidays
• Estimated starting salary range: $25.00/hour with a $2,000 monthly housing stipend