Personal Systems Artificial Intelligence/Machine Learning Intern
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Job Description
About HP:
HP, founded in a Palo Alto garage in 1939, is a leading global technology company. It offers a diverse portfolio spanning printing, personal computing, software, and services, serving over 1 billion customers in more than 170 countries. HP is committed to fostering a diverse and inclusive workplace and supporting employee success. Their mission is to “engineer experiences that amaze.”
Job Description: Personal Systems Artificial Intelligence/Machine Learning Intern
This is a 12-week paid summer internship within HP’s Personal Systems organization. The team focuses on creating a digital experience ecosystem through advancements in computing, artificial intelligence, and machine learning; developing immersive experiences via peripherals; and expanding digital services.
Responsibilities:
As an intern, you will contribute to projects involving:
• Software Development and Testing: Documenting and testing new AI/ML software applications.
• Idea Assessment: Evaluating new application ideas within the AI/ML domain.
• Product Enhancement and Design: Improving existing products and creating new product designs using AI/ML.
• Application Development: Developing applications (coding and programming).
• Quality Assurance: Ensuring quality and performance of AI/ML applications.
• Deep Learning Research: Participating in cutting-edge research in deep learning. This includes generating data and fine-tuning models to enhance performance based on specific metrics.
• AI Solutions for Gaming: Identifying unique AI solutions tailored for the gaming ecosystem.
• Data Analysis: Applying data analysis techniques to balance class distributions, remove outliers, and reduce noise in supervised trained AI models.
• Generative AI at the Edge: Working on generative AI applications for edge devices.
• AI Assistant Development: Creating an AI assistant for HP security software capable of explaining security features.
• SLM Optimization: Testing and optimizing fine-tuned small language models (SLMs) on Windows PCs.
• User Experience Assessment: Evaluating the user experience of AI models on edge devices.
• Agentic AI: Exploring large multimodal model compression and acceleration, conversational interfaces, retrieval augmented generation (RAG), and visual and spatial understanding.
Required Qualifications:
• Currently enrolled in a university degree program: Completion of the 3rd year of a Bachelor’s degree, the 1st year of a Master’s degree, or a PhD candidate (typically in a technical field).
Preferred Qualifications:
• Major: Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, or Data Science.
• Programming Languages: Experience with Python, Java, C/C++, or C#.
• AI Models: Familiarity with Linear Regression, Logistic Regression, Decision Trees, Random Forests, etc.
• Tools: Experience with Tableau, GitHub, and Jupyter Notebook.
• Deep Learning Frameworks: Experience with one or more frameworks (Caffe, Caffe2, PyTorch, TensorFlow).
• Skills: Good technical judgment, initiative, critical thinking, effective teamwork, strong communication skills, solution-oriented thinking, customer-centric approach, creativity, and problem-solving abilities.
