WD
WD
Posted 2 days ago
Internship
San Jose, California
In Person
Smart Summary
Responsibilities
Develop and deploy machine learning models and automation tools for failure analysis and defect detection. Preprocess large datasets to derive insights and ensure the scalability of models for production environments.
Qualifications
You are currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, or a related field, with a graduation date between December 2026 and June 2027. You have strong proficiency in Python and machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, and experience with data cleaning, ML algorithms, and statistical modeling.
Must Have Skills for ATS
Python
Scikit-learn
TensorFlow
PyTorch
machine learning
statistical modeling
Convolutional Neural Networks (CNNs)
clustering algorithm
statistical principles
control charting techniques
data analysis
SQL
relational databases
cloud platforms
code version control
Statistical Process Control (SPC)
Job Description
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.
We are looking for a motivated intern to join our team and contribute to the development of failure analysis automation tools and defect detection systems. This role requires a strong foundation in machine learning, automation, and statistical process control. The ideal candidate should be proficient in ML algorithm and be pursuing a Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
ESSENTIAL DUTIES AND RESPONSIBILITIES
REQUIRED
PREFERRED
WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available HERE.
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.
WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be 10/23/2026, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
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Compensation & Benefits Details
You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD'S Standard Terms and Conditions for Restricted Stock Unit Awards.
Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email .
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