Personal Systems Machine Learning Internship

Key Skills

Aartificial intelligence, C Programming, C++, Caffe, Computer Vision (CV), Data science techniques, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

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 2024 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, creating immersive experiences through peripherals, and expanding digital services. 

Personal Systems has an opening for a Research and Development intern in the area of computer vision and deep learning. We are looking for Master and/or PhD candidates who are passionate about applying your knowledge of deep learning in industrial applications, enjoying solving challenging deep learning problems, and contributing to successful products used by millions of people.

Responsibilities:

• Participate in cutting-edge research in deep learning for computer vision applications.
• Design and implement computer vision and deep learning algorithms for analyzing images and videos in real time
• Prepare training, validation, and testing dataset, label ground truth, and analyzing result
• Document experimental results, and file patent disclosures
• Collaborate with project team members, as well as engineers across company to meet research goals

Education & Experience Required:

• Master or PhD Candidate in Computer Science or related technical areas

Preferred Majors:

• Computer Science, Computer Engineering, Artificial Intelligence and Machine Learning, Data Science

Preferred Knowledge & Skills:

• Experience in C, C++ programming and Python
• Experience with one or more deep learning frameworks (Caffe, Caffe2, PyTorch, Tensorflow)
• Experience with OpenCV
• Good technical judgment and initiative
• Demonstrated ability to work effectively as a member of a team
• Strong oral and written communications skills

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. 

About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

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.