Machine Learning Engineering Intern

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.?

Internship Opportunity:

Join our dynamic full-stack team on a mission to create impactful machine learning solutions deployable across diverse platforms. As an intern, you'll be part of a talented group of engineers dedicated to designing, training, and integrating advanced machine learning capabilities.

What We're Looking For: Proactive interns with a passion for innovation and excellence in any of the following domains:

• Large Language and Vision Models

• Multimodal Generative AI

• 3D Pose and Shape Estimation

• Augmented and Virtual Reality

• Autonomous Systems

• Intelligent Human-Computer Interaction

• Deep Learning Techniques

• Model Optimization

• Computer Vision

• Synthetic Data Generation

• Robotics

• Embedded Systems

• Cloud Technologies

• Other cutting-edge technologies

Your Role: As an intern, you will:

• Research and develop machine learning models from inception to deployment.

• Work collaboratively with teams to transform business needs into robust technical solutions.

• Craft algorithms for processing vast datasets efficiently in real-time.

• Integrate models with various platforms for real-world applications.

• Enhance model performance for greater accuracy and efficiency.

• Keep abreast of technological advancements to foster innovation.

• Engage in mentoring and knowledge exchange.

Qualifications:

• Pursuing a degree in Computer Science, Engineering, Mathematics, or a related field - PHD Candidates preferred.

• Demonstrated skills in Python/C++, C#, Swift, or Objective-C.

• Familiarity with PyTorch, TensorFlow, Flutter, or similar frameworks.

• Understanding of machine learning, computer vision, and robotics.

• Experience with cloud services (AWS, Azure, GCP) is a plus.

• Mobile development knowledge for Android/iOS is beneficial.

• Excellent analytical and problem-solving abilities.

• Strong communication and teamwork skills.

This internship is a unique opportunity to contribute to real-world projects that reach millions of users globally. You'll gain hands-on experience, learn from industry experts, and help drive technological innovation forward.

If you're eager to learn and ready to make a difference, we'd love to hear from you!

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:? ~~~

COL, NY, CA, WA - Our compensation reflects the cost of labor across several U.S. geographic _?_ markets, and we pay differently based on those defined markets. The typical _?_ base pay range for this role across the U.S. is _?_ $ 40-50 hourly . Pay within this _?_ range varies by work location and may also depend on job-related _?_ knowledge, skills, and experience. Your recruiter can share more about the _?_ specific salary range for the job location during the hiring process. ?

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).