Intern , Artificial Intelligence

L3HHCM20Town of Gates, NY
$23 - $48Onsite

About The Position

This internship focuses on supporting the development of machine learning solutions using data-driven models. Interns will work closely with current team members to contribute to the improvement of MLOps and data pipelines. The role involves working with multi-domain datasets, performing data curation and exploratory data analysis, and supporting the regression testing, validation, and documentation of ML models. Additionally, interns will identify relevant pre-trained and state-of-the-art foundation models for integration into AI solutions, and implement, maintain, and optimize containerization for seamless deployment and scaling of AI/ML workloads.

Requirements

  • Pursuing a Master’s Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university.

Nice To Haves

  • Experience with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
  • Experience with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
  • Experience with Python and building Virtual Environments (e.g., Conda, UV, Docker)
  • Experience developing models using classical and SotA Machine Learning
  • Experience maintaining training and inference infrastructure for ML models

Responsibilities

  • Support development of machine learning solutions using data-driven models.
  • Contribute to the improvement of MLOps and data pipelines.
  • Work with multi-domain datasets and phenomenologies to develop effective data plans.
  • Perform data curation and exploratory data analysis.
  • Support proper regression testing, validation, and documentation of ML models.
  • Identify relevant pre-trained models and collaborate with team to integrate into solution pipelines.
  • Identify state-of-the-art (SotA) foundation models and advocate for use in larger AI solutions.
  • Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction.

Benefits

  • health and disability insurance
  • 401(k) match
  • flexible spending accounts
  • EAP
  • education assistance
  • parental leave
  • paid time off
  • company-paid holidays
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