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Machine Learning Engineer Intern

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Cadent

Jan 29, 2024

Applications are closed

  • Internship
    Part-time
    Starts on Mar 04
    Off-cycle Internship
  • Data
  • Philadelphia

Requirements

  • A senior pursuing a Master’s degree at a college or university majoring in a field closely related to the department they are interning preferably computer science or related field
  • Able to commit to a part-time (20 hours per week) work schedule between March 4, 2024 – May 10, 2024.
  • Proficient in Python SQL, and Shell scripting, with some knowledge Docker containerization and Cloud data processing technologies
  • Background in software engineering and knowledge of statistical concepts
  • Excellent verbal and written communicators
  • Self-motivated with a desire to learn from a rapidly growing company
  • Confident to take initiative and collaborate with teammates

Responsibilities

  • Use Python, SQL, Shell scripting, and Cloud technologies and other department-specific software to complete day-to-day R&D assignments. *Python experience is required*
  • Collaborate effectively with other members of the engineering research team and broader data services group including but not limited to Data Scientists, Data Engineers, Analytics Engineers, Performance Engineers, Software Engineers and Business Intelligence Analysts
  • Conduct research and present findings to the MLE team and business stakeholders
  • Collaborate with the team in Agile Sprint Planning, demos, seminars, and other team meetings.
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Cadent

Marketing & Advertising
Industry
201-500
Employees

Mission & Purpose

Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns