HP Internship 2025 – Work on AI Model Optimization & Deep Learning

HP College Intern—AI Lab (Generative AI & Edge Computing)

Job Posting Start Date: March 12, 2025
Workstyle: Flexible
Position: College Intern (Full-Time)
Location: India
Shift: No Shift Premium

About the Role: AI Lab Internship at HP

The field of Artificial Intelligence (AI) is evolving at an unprecedented pace, with Generative AI (Gen AI) revolutionizing how we interact with technology. While cloud-based AI solutions have dominated the first wave of Gen AI innovations, the future is shifting towards edge computing—where AI models run directly on devices rather than relying on cloud servers. This transition offers improved data security, better responsiveness, and reduced operational costs.

At HP, we are committed to pushing the boundaries of technology. Our AI Lab, part of HP’s Technology Innovation Organization, is at the forefront of research in Gen AI, focusing on optimizing AI models for edge computing. As an AI Lab Intern, you will have the opportunity to contribute to groundbreaking research and development (R&D), collaborating with a team of experts to build innovative AI solutions.

Why Join HP’s AI Lab?

• Work with cutting-edge generative AI technologies.
• Gain hands-on experience in AI model optimization for edge devices.
• Collaborate with experienced AI researchers and engineers.
• Develop and fine-tune AI models for real-world applications.
• Explore innovations that have the potential to influence industry standards.

Internship Responsibilities

As an AI Lab intern, your primary responsibilities will include:

1. Research and Development in Generative AI

• Conduct research on advanced machine learning (ML) and deep learning (DL) models.
• Develop and fine-tune generative AI models for edge applications.
• Explore novel methodologies to improve AI performance and efficiency on limited-resource devices.
• Propose innovative AI solutions that enhance existing technologies.

2. AI Model Optimization for Edge Computing

• Implement techniques such as quantization, pruning, and model distillation to improve AI model efficiency.
• Optimize AI models for edge devices, ensuring low latency and high computational efficiency.
• Work on hardware-aware optimizations to enhance AI inference speed.

3. Benchmarking and Performance Analysis

• Conduct comparative analysis between optimized and baseline AI models.
• Develop benchmarking tools to measure improvements in accuracy, speed, and efficiency.
• Present findings and propose further enhancements based on research insights.

4. AI Model Implementation and Prototyping

• Develop proof-of-concept AI applications demonstrating real-world feasibility.
• Implement AI algorithms in Python using PyTorch and Hugging Face libraries.
• Experiment with fine-tuning models using LoRA/QLoRA techniques.
• Collaborate with team members to integrate AI models into edge-based systems.

5. Collaboration and Continuous Learning

• Stay updated with the latest AI research papers and technological advancements.
• Participate in team discussions, brainstorming sessions, and AI workshops.
• Work with cross-functional teams to align AI developments with business goals.
• Potentially contribute to research publications based on internship outcomes.

Preferred Qualifications and Educational Background

We are looking for students with a passion for artificial intelligence, machine learning, and edge computing. Ideal candidates should have a strong academic background and relevant coursework in AI and ML.

Minimum Education Requirements:

• Enrolled in a bachelor’s, master’s, or PhD program in computer science, electrical engineering, mathematics, statistics, or a related discipline.
• Completed formal coursework in:
  • Data Analytics & Statistical Modeling
  • Machine Learning & Deep Learning
  • Natural Language Processing (NLP)

Essential Technical Skills:

• Strong algorithms and data structures knowledge
• Machine Learning techniques (Classification, Regression, Bagging, Boosting)
• Deep learning fundamentals
• Natural Language Processing (NLP) methods
• Python programming proficiency
• Experience with the PyTorch framework
• Hugging Face Library (hands-on knowledge in fine-tuning with LoRA/QLoRA)
• Git version control (staging, commit, push, pull requests, branching, merging)

Additional Preferred Skills (Nice-to-Have):

• Implementation of Transformers from scratch using PyTorch
• Familiarity with LLaMA and Mixture of Experts (MoE) model architectures
• Knowledge of Deep Reinforcement Learning (Deep RL) for small gaming environments (e.g., Atari games)
• Experience with systems engineering and high-performance computing (HPC) for AI workloads

Work Environment & Schedule

• Workstyle: Flexible
• Employment Type: Full-time Internship
• Location: India
• Shift Details: No shift premium required

Why HP?

At HP, we are committed to innovation, excellence, and empowering future AI professionals. Our AI Lab provides a stimulating work environment where interns have access to state-of-the-art AI tools and mentorship from industry leaders.

Benefits of Joining HP’s AI Internship Program:

• Gain real-world experience in cutting-edge AI research.
• Work on projects with industry impact
• Enhance your AI and ML expertise through practical applications.
• Receive mentorship from leading AI professionals.
• Be part of a company that values diversity, inclusion, and innovation.

Equal Employment Opportunity (EEO) Statement

HP is an equal opportunity employer and is committed to fostering an inclusive work environment. We provide equal employment opportunities to all employees and applicants, ensuring fairness in hiring, promotions, and career advancements regardless of:

• Race, color, or nationality
• Religion, gender, or sexual orientation
• Disability status or genetic predisposition
• Marital or familial status
• Military or veteran status
• Political affiliations
• Other characteristics protected by law

We encourage diverse candidates to apply and are dedicated to maintaining a bias-free hiring process.

How to Apply

If you are passionate about generative AI, machine learning, and edge computing, we encourage you to apply for this exciting internship opportunity at HP. Gain hands-on experience, work with industry experts, and contribute to the future of AI technology.

To apply, visit HP’s Careers Page and submit your application along with your resume and relevant work samples.

Apply here