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HP Personal Systems AI/Machine Learning Internship United States, Idaho, Boise 912400109
12-week paid summer internshipdesigned 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 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.
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
- Createan AI assistant for Security Software that will be able to explain all of HP's security features.
- Testand 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
Currently enrolled ina University degree:3rd Year of Bachelors completed, 1st year of Masters completed or PhD candidate–typically a technical degree specialization.
- Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, Data Science.
- 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.
The pay range for this position is $35 to $53 perhour (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
for US Interns working at least 20 hours weekly, including:
Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
assistance program
Flexible spending account
Life insurance
Generous time off policies,
12 weeks fully paid parental leave based on tenure
13 paid holidays
15 dayspaid time off ()
Available hours are pro-rated based on hire date and scheduled hours
The compensation and benefits informationmodify this information at any time, with or without notice, subject to applicable law.
Travel -
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.
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