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Machine Learning Intern

  • Internship
    Off-cycle Internship
  • Data
  • Austin


  • Pursuing a degree in Computer Science, Engineering, Mathematics, or a related field
  • Demonstrated skills in Python/C++, C#, Swift, or Objective-C.
  • Familiarity with PyTorch, TensorFlow, Flutter, or similar frameworks.
  • Understanding of machine learning, computer vision, and robotics.
  • Experience with cloud services (AWS, Azure, GCP) is a plus.
  • Mobile development knowledge for Android/iOS is beneficial.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and teamwork skills.


  • Research and develop machine learning models from inception to deployment.
  • Work collaboratively with teams to transform business needs into robust technical solutions.
  • Craft algorithms for processing vast datasets efficiently in real-time.
  • Integrate models with various platforms for real-world applications.
  • Enhance model performance for greater accuracy and efficiency.
  • Keep abreast of technological advancements to foster innovation.
  • Engage in mentoring and knowledge exchange.

Information Technology & Services

Founded Year

Mission & Purpose

HPE (Hewlett Packard Enterprise) is a global technology company that provides a comprehensive range of IT solutions and services. They offer hardware, software, and hybrid IT infrastructure solutions, including servers, storage systems, networking equipment, and cloud computing services. HPE's ultimate mission is to help their clients thrive in the digital age by providing transformative technology solutions that drive innovation, enhance productivity, and enable business growth. Their purpose is to empower organisations to harness the power of technology and data to solve complex challenges, optimise their IT infrastructure, and accelerate their digital transformation. HPE strives to be a trusted partner, delivering cutting-edge technology and expertise that enables their clients to adapt, innovate, and stay ahead in an ever-changing and competitive marketplace.