3 дня назад
Spring 2027 AI Applied Research Internship (AI/ML)
25$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Spring 2027 AI Applied Research Internship (AI/ML): Taking machine learning and forecasting models from raw data to production for nuclear construction software with an accent on ML pipelines, time-series modeling, evaluation, and monitoring. Focus on deploying end-to-end models, detecting drift, triggering retraining, and maintaining audit-ready results.
Location: Washington, DC; on-site five days a week for six months. Full housing and relocation support are provided for co-ops outside the DC metro area. U.S. Person status is required, and visa sponsorship is not provided.
Salary: $25.00 per hour, plus a $2,000 monthly housing stipend, paid bi-weekly.
Company
is an AI-focused technology startup developing software for fleet-scale nuclear reactor construction and operations.
What you will do
- Source, clean, explore, evaluate, and deploy models using real construction and operational data.
- Build ML pipelines and manage experiments and models with MLflow, Kubeflow, or SageMaker.
- Develop forecasting and time-series models for megaproject cost, schedule, and risk.
- Own model lifecycles from raw data through production deployment and monitoring.
- Implement drift detection, retraining triggers, evaluation, and validation processes.
Requirements
- Currently enrolled in a BS or MS program in Computer Science, Data Science, Statistics, Applied Math, or a related technical field.
- Available for the full six-month Spring 2027 term from January through June and returning to school afterward.
- Strong Python skills and experience with pandas, NumPy, and scikit-learn.
- Hands-on experience building ML pipelines and evaluating models through coursework, research, projects, or internships.
- Comfort approaching time-series or forecasting problems from scratch.
- U.S. citizen or lawful permanent resident status is required, along with the ability to work on-site in Washington, DC five days a week.
Nice to have
- Experience with MLflow, Kubeflow, SageMaker, drift detection, or production monitoring.
- Knowledge of statistics, probability, experimental design, SQL, and relational data modeling.
- Experience with Snowflake, Databricks, BigQuery, Palantir Foundry, or AWS.
- Interest in energy, national security, industrial software, or regulated industries.
- Familiarity with nuclear engineering concepts.
Culture & Benefits
- AI-first working environment using AI, technology, and the Nuclear Operating System to improve workflows and decision-making.
- 401(k) with company match.
- Medical, dental, and vision plans.
- Generous vacation policy and holidays.
- Full housing and relocation support for eligible co-ops outside the DC metro area.
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