Intern - AI/ML Development Engineer

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Assist in developing and testing AI/Machine Learning models for real applications, such as predictive maintenance, data analysis, or automation.
• Collect and preprocess data from various sources to support model training and evaluation.
• Support the implementation of machine learning algorithms using tools such as Python, PyTorch, or similar frameworks.
• Collaborate with engineers and data teams to understand project requirements and contribute to AI-based solutions.
• Document development processes, model performance, and findings, and present results to the team or supervisors.

Qualifications

REQUIRED:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field

SKILLS:

• Basic knowledge of programming languages such as Python
• Fundamental understanding of Machine Learning concepts and data analysis
• Familiarity with ML libraries/frameworks. e.g. PyTorch
• Demonstrate a good level of English proficiency (written/verbal)

Additional Information

#LI-BI1 

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

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