Artificial Intelligence (AI)/Machine Learning (ML) Graduate

Key Skills

Java Programming, Management, Python Programming, Framework, SQL, Deep Learning, CUDA/GPU programming, R Programming, Statistics, Algorithms, Mathematics, Distributed systems

Job Description

At HPE, our team members search beyond customers' needs today to accelerate what’s next and make a difference — for others, our company, and the planet. Our customers turn to us because we are positive, empathetic, and enterprising. We embrace opportunities to accelerate this transformation across data, connectivity, cloud, and security. And together we make what was once thought impossible, possible.

That’s why we not only give you the space to grow into the professional you want to be, but we also embrace who you are and where you come from. We also value the flexibility and autonomy to balance work and personal needs in a way that works best for you.

A career as an AI/ML Grad allows you the opportunity to contribute to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.

What you'll do:

You will develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. You will work with large scale computing frameworks, data analysis systems, and modeling environments. You will formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms and translate technical specifications into code.

You will apply, optimize, and scale deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. You will document procedures for installation and maintenance, complete programming, perform testing and debugging, define and monitor performance metrics. You will utilize your coding experience with Python, R, Java, or similar functional programming language and apply it to data exploration, transformation, and modeling.

The technology:

Deep Learning frameworks and models, GPU acceleration, model optimization, real-time streaming data, distributed computing.

Locations:

• San Jose, CA
• Houston, TX
• Seattle, WA

What you’ll need:

• Bachelor’s/Master’s degree with a focus in computer science, statistics, mathematics, physics, or related field
• You are fully comfortable working in a hybrid (virtual and face-to-face) environment
• Strong relationships management skills
• Proficiency in Deep Learning frameworks and models, GPU acceleration, model optimization, real-time streaming data, distributed computing, and deployment
• Proficient in Python, R, Java, or similar functional programing languages

What we’d prefer you bring:

• Preferred GPA of 3.0 or higher
• The drive to seek out what’s next and to deliver exceptional results
• A collaborative, solution focused spirit and overall sense of urgency
• The desire to embrace new ideas and fresh thinking and seek out ideas different than your own
• Experience as an active leader on campus who strives to make a positive impact on the world
• Comfort with working in a hybrid (virtual and face-to-face) environment
• Exceptional communication and presentation skills and the ability to ask smart questions

At HPE, we’re:

• Ranked 19th on Fortune’s 2022 list of 100 Best Companies to Work For
• Ranked 7th on Newsweek’s list of America’s Most Responsible Companies 2022
• Named a Best Place to Work for Disability Inclusion for the sixth year in row
• Named one of the 100 Best Large Workplaces for Millennials in 2021
• Recognized as one of the Best Companies for Multicultural Women by Seramount

• Ready to take the next step? Open up opportunities with HPE.