Job Description
Our Data & AI organization empowers business digital transformation by providing infrastructure, platform and data science support. We partner with SG&A (Selling, General & Administrative) functions—including Finance, HR, Procurement, Legal, and other business support areas—to deliver advanced analytics, automation, and AI-powered solutions. We offer internship opportunities for PhD students to work on impactful analytics projects that enable smarter decision-making and drive operational excellence.
Essential Duties & Responsibilities:
Conduct applied research in areas such as machine learning, optimization, computer vision, simulation, or AI for manufacturing and operations.
Help design and prototype analytics models and intelligent applications (e.g., predictive maintenance, yield optimization, or anomaly detection).
Develop and evaluate algorithms for real-time data processing, forecasting, or decision optimization.
Support development of AI/ML pipelines and assist in integrating models into enterprise data platforms.
Partner with business and IT stakeholders to ensure models align with operational requirements and business goals.
Stay current with academic and industry advancements in AI, ML, simulation, and big data analytics, recommending opportunities for adoption.
Qualifications
Required:
Currently pursuing a PhD (graduating 2027) in Computer Science, Industrial Engineering, Data Analytics, Applied Mathematics, Economics or related field.
Strong background in one or more of the following:
Machine learning / deep learning / AI model development
Operations research, simulation, or optimization algorithms
Computer vision or image analytics
Predictive modeling or anomaly detection
Big data analytics and distributed computing (Spark, Hadoop, or cloud platforms)
Proficiency with programming and analytics tools such as Python, Pytorch.
Demonstrated ability to translate research concepts into practical, scalable solutions.
Collaborative mindset, curiosity, and eagerness to learn from multidisciplinary teams.
Preferred:
Additional Information
Sandisk 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.
Sandisk 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.
Sandisk 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 jobs.accommodations@sandisk.com 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 04/23/2026 (3 months from posting), 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