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Machine Learning Engineer Intern

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • Chicago
    Denver
    Wilmington
    Washington, DC
    Phoenix
    Baltimore
    Kansas City
    Boston
    Houston
    Cincinnati
    Detroit
    Omaha
    Memphis
    Salt Lake City
    New Orleans
    Anchorage
    Greenville

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field, with a keen interest in machine learning and AI.
  • Familiarity with core areas of computer science such as Natural Language Processing, Computer Vision, Machine Learning, or Deep Learning.
  • Basic knowledge of programming in languages like Python, Java, C/C++, etc.
  • Eagerness to learn about deploying applications in production environments and understanding operational best practices.
  • An interest in working with complex, real-world medical and patient data.
  • Curiosity and a willingness to learn about large-scale data processing, AI model training, and related techniques.

Responsibilities

  • Assist in developing cutting-edge machine learning models, particularly focusing on Large Language Models (LLMs), to streamline clinical operations using diverse data sources like medical images, electronic health records, patient waveforms, and clinical documentation.
  • Participate in ensuring the accuracy and effectiveness of algorithms across varied patient demographics, involving statistical analysis and error assessment.
  • Help build and refine prototypes, gaining insights into transforming them into scalable, efficient code for real-world applications.
  • Stay up-to-date with the latest trends and advancements in AI algorithms and technologies.
  • Contribute to the development of adaptable software and data systems, which emphasize modular components for use across various teams and projects.

Science & Healthcare
Industry
10,001+
Employees
1892
Founded Year

Mission & Purpose

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE HealthCare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity and we work to create a world where healthcare has no limits.