Job Description
HP
College Intern
Full-Time
Bengaluru, India.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.Our history: HP’s commitment to diversity, equity and inclusion – it’s just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive!
Any Degree
Freshers
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 detailsHP 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.ResponsibilitiesProposes 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 RecommendedEnrolled 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 Knowledge and Skills:Required: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)
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
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