Vision

The recent innovations in the Generative AI space have set the basis for a change in the way we work and how we interact with technology. While the first wave of Gen AI innovations has had a special focus on the cloud, there is strong impetus for offerings that live on the edge, where one can tightly control and secure personal data access, improve responsiveness and can reduce execution costs. In this context, the AI Lab, within the HP’s Technology Innovation Organization is conducting applied research in Gen AI models with a focus on improving performance on edge devices.

Job details

HP is looking for an individual to join the AI Lab team as a summer intern. This team is responsible for exploring and pushing the boundaries of the state-of-the-art applied Gen AI research with a focus on edge applications. The candidate will be involved in the research and development of generative AI models and will work with other team members to develop novel ideas and proof-of-concept prototypes potentially leading to publications. The role will involve research, development in the area of model optimization for edge use cases.

Responsibilities

• Proposes innovations that improve on the state of the art
• Develops/fine-tunes Generative AI models for target applications
• Conducts analysis and benchmarking to show improved model performance
• Implements alternative approaches and baselines from the latest research
  
  

Education & Experience Recommended

• Enrolled in Bachelor/Master/PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or any other related discipline.
• Typically, has finished formal courses in any or all the following courses: data analytics, statistical modeling, machine learning, deep learning
  
  

Required

Knowledge and Skills:

• Algorithms
• Basic Deep Learning
• Machine Learning (Classification, Regression, Bagging, Boosting)
• Natural Language Processing
• Python Programming & PyTorch Framework
• Hugging Face Library (practical knowledge of fine-tuning using LoRA/QLoRA)
• Experience with Git workflow (staging, commit, push, pull request, branching, merging)
  
  

Good To Have

• Basic Transformers implementation from scratch using PyTorch
• Architectural knowledge of LLaMA, MoE models
• Knowledge of how to interact with small gaming environments like Atari for Deep RL algorithms
• Skill in systems engineering, high-performance computing, with a strong emphasis on efficient implementations
  
  

Disclaimer: This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.