Personal Systems AI/Machine Learning Internship

Description -

The following posting is a pipeline requisition, meant to accumulate candidates for Artificial Intelligence Engineer in Palo Alto. Qualified applicants will be contacted in concert with the approval and publication of identical, approved positions within HP.

Candidates who identify with a group that is historically underrepresented in the technology sector including by not limited to, African American, Latino, Native American, individuals with disabilities and veterans are encouraged to apply.

About Us:

Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators and entrepreneurs around the globe.

HP brings together a portfolio that spans printing, personal computing, software and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.

The Program:

Our future success depends on the innovation and fresh ideas students bring to HP Inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP Inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way.

Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!

The Team:

The Personal Systems organization creates a full ecosystem of digital experiences through advancing leadership in computing, artificial intelligence and machine learning, creating immersive experiences through peripherals and expanding digital services.

Responsibilities:

As a Personal Systems Artificial Intelligence/Machine Learning Intern, you will work with a team within Personal Systems on projects to:

Document and test new software applications focusing Artificial Intelligence and Machine Learning
Assess of new application ideas into Artificial Intelligence and Machine learning domain
Enhance products and create new product design.
Develop applications (coding, programming)
Ensure quality and performance assurance.
Participate in cutting-edge research in deep learning.
Generate data and fine-tuning models to improve performance in specific metrics.
Identify unique AI solutions geared towards Gaming Ecosystem
Apply data analysis techniques to balance class distributions, remove outliers, reduce noise to accomplish a supervised trained AI model.
Generative AI in the edge
Create an AI assistant for Security Software that will be able to explain all of HP’s security features.
Test and optimize fine-tuned small language models (SLMs) on laptops and workstations running Windows PCs.
Assess the user experience of AI models on edge devices.
Agentic AI Experience: large multimodal model compression and acceleration, conversational interface, retrieval augmented generation (RAG), visual and spatial understanding

Education and Experience Required:

Currently enrolled in a University degree: 3rd Year of Bachelors completed, 1st year of Masters completed or PhD candidate–typically a technical degree specialization.

Preferred Majors :

Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, Data Science.

Preferred Knowledge and Skills:

Have some experience with programming languages like Python, Java, C/C++ or C#.
Have some experience with some AI Models like: Linear Regression, Logistic Regression, Decision Trees, Random Forests, etc.
Some experience with tools like: Tableau, GitHub, Jupyter Notebook
Experience with one or more deep learning frameworks (Caffe, Caffe2, PyTorch, Tensorflow)
Good technical judgment and initiative, critical thinking
Demonstrated ability to work effectively as a member of a team
Strong oral and written communications skills
Solution Oriented, Out of the box thinking, Customer Centric.
Great teamwork, self starter, creative problem solver.

We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today— we are eager to learn more about you. 

HP is an equal opportunity employer:  https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225

The pay range for this position is $35 to $53 per hour (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for US Interns working at least 20 hours weekly, including:

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies, including;

4-12 weeks fully paid parental leave based on tenure

13 paid holidays

15 days paid time off (US benefits overview)

Available hours are pro-rated based on hire date and scheduled hours

The compensation and benefits information isaccurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Explore HP#LI-POST

Job -

Administration

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’sEEO Policyor your EEO rights as an applicant under the law, please click here:Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

Personal Systems AI/Machine Learning Internship

Hewlett Packard (HP)

Compensation Overview

Document and test new software applications focusing Artificial Intelligence and Machine Learning

Assess of new application ideas into Artificial Intelligence and Machine learning domain

Enhance products and create new product design.

Develop applications (coding, programming)

Ensure quality and performance assurance.

Participate in cutting-edge research in deep learning.

Generate data and fine-tuning models to improve performance in specific metrics.

Identify unique AI solutions geared towards Gaming Ecosystem

Apply data analysis techniques to balance class distributions, remove outliers, reduce noise to accomplish a supervised trained AI model.

Generative AI in the edge

Create an AI assistant for Security Software that will be able to explain all of HP’s security features.

Test and optimize fine-tuned small language models (SLMs) on laptops and workstations running Windows PCs.

Assess the user experience of AI models on edge devices.

Agentic AI Experience: large multimodal model compression and acceleration, conversational interface, retrieval augmented generation (RAG), visual and spatial understanding

Have some experience with programming languages like Python, Java, C/C++ or C#.

Have some experience with some AI Models like: Linear Regression, Logistic Regression, Decision Trees, Random Forests, etc.

Some experience with tools like: Tableau, GitHub, Jupyter Notebook

Experience with one or more deep learning frameworks (Caffe, Caffe2, PyTorch, Tensorflow)

Good technical judgment and initiative, critical thinking

Demonstrated ability to work effectively as a member of a team

Strong oral and written communications skills

Solution Oriented, Out of the box thinking, Customer Centric.

Great teamwork, self starter, creative problem solver.

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