Intern - Validation Strategy AI/ML

Job Title

Intern - Validation Strategy AI/ML

Role Summary

The intern supports the Validation Strategy & Test Architecture team to explore and prototype AI/ML approaches that improve SSD validation productivity. The role works with Firmware and Product Test partners to translate strategic ideas into executable analyses and proof-of-concepts.

Work includes data analysis, documentation of requirements and handoffs, building small proofs-of-concept using logs/metrics/structured data, and communicating results to stakeholders.

Experience Level

Entry-level internship.

Responsibilities

Key responsibilities include research, prototyping, and communication to support AI/ML validation initiatives.

• Prototype and evaluate AI/ML methods to accelerate triage, automate reporting, and improve workflow efficiency.
• Collect stakeholder requirements and help define inputs, outputs, success criteria, and measurable impact for initiatives.
• Produce documentation that clarifies ownership, handoffs, assumptions, and results between strategy and execution teams.
• Build small proofs-of-concept and analyses using engineering artifacts such as logs, metrics, and structured data; summarize findings for periodic updates.
• Collaborate with cross-functional teams and present recommendations to partners.

Requirements

Must-have technical skills and capabilities for the role.

• Proficient programming in Python and experience with libraries such as NumPy, pandas, and scikit-learn.
• Strong understanding of machine learning fundamentals, algorithms, model training, and evaluation techniques.
• Robust analytical and problem-solving skills grounded in mathematics and statistics.
• Ability to work effectively in collaborative engineering teams and communicate technical concepts clearly.
• Experience producing reproducible analyses and simple prototypes from engineering data (logs, metrics, structured data).

Nice-to-have:

• Experience with TensorFlow or PyTorch and advanced data-analysis libraries.
• Prior hands-on projects or coursework in machine learning, data science, or AI.
• Familiarity with embedded systems, firmware, or hardware testing processes.
• Exposure to software development tools and practices such as Git and agile methodologies.

Education Requirements

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical/Computer Engineering, or a related technical field.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.