Logo of Huzzle

Machine Learning Intern

Applications are closed

  • Internship
    Off-cycle Internship
  • Software Engineering
  • Austin


  • Proactive interns with a passion for innovation and excellence in any of the following domains:
  • Large Language and Vision Models
  • Multimodal Generative AI
  • 3D Pose and Shape Estimation
  • Augmented and Virtual Reality
  • Autonomous Systems
  • Intelligent Human-Computer Interaction
  • Deep Learning Techniques
  • Model Optimization
  • Computer Vision
  • Synthetic Data Generation
  • Robotics
  • Embedded Systems
  • Cloud Technologies
  • Other cutting-edge technologies
  • Qualifications:
  • 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.


What will I be working on as a Machine Learning Intern?

As a Machine Learning Intern, you will be part of a team working on creating impactful machine learning solutions that can be deployed across various platforms. You will be involved in designing, training, and integrating advanced machine learning capabilities.

What skills or qualifications are required for this internship?

We are looking for candidates with a strong background in machine learning, data analysis, and programming. A good understanding of algorithms, statistical modeling, and data visualization is also preferred. Prior experience with machine learning frameworks such as TensorFlow or PyTorch is a plus.

Will I receive mentorship or guidance during the internship?

Yes, as a Machine Learning Intern, you will have the opportunity to work closely with experienced engineers who will provide guidance and mentorship throughout your internship. You will have the chance to learn from industry experts and gain valuable hands-on experience in the field of machine learning.

What platforms and technologies will I be working with as a Machine Learning Intern?

You will have the opportunity to work with a range of platforms and technologies while on our team. This may include cloud computing platforms like AWS or Azure, machine learning frameworks like TensorFlow or PyTorch, and programming languages like Python or R. You will also have the chance to explore cutting-edge tools and techniques in the field of machine learning.

How will my work as a Machine Learning Intern contribute to the team's overall goals?

Your work as a Machine Learning Intern will play a crucial role in helping our team develop and deploy impactful machine learning solutions. By contributing to the design, training, and integration of advanced machine learning capabilities, you will help us achieve our mission of creating innovative and effective solutions that can be deployed across diverse platforms.

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.