Intern - Smart Manufacturing and AI Data Science

Micron Technology • Boise, ID

1d

About The Position

Conduct exploratory data analysis, feature engineering, and model development using modern statistical and machine learning methods. Apply techniques across one or more domains such as signal processing, image analytics, time-series analysis, anomaly detection, optimization, and predictive modeling. Implement and evaluate machine learning algorithms, including classical ML, deep learning, and generative AI techniques where appropriate. Develop software, scripts, and automated workflows to cleanse, integrate, and analyze large-scale datasets from diverse sources. Work with structured, semi-structured, and unstructured data, applying data quality, data governance, and reproducibility best practices. Collaborate with engineering teams to translate analytical findings into actionable insights and deployable solutions. Utilize cloud platforms (GCP, Snowflake, etc.) and modern data engineering pipelines to support scalable model development and experimentation. BS degree in statistics, physics, computer science, engineering, applied mathematics, data science or related field, with the intentions of completing a MS or Ph.D. in one of these fields or Data Science. Must be a current student and must not graduate before Dec. 2027. Strong desire to apply data science to solve complex technical and business challenges such as improving yield, reducing cycle time, optimizing processes, or enhancing product quality. Working knowledge of SQL or other query languages for data extraction, transformation, and integration. Ability to handle datasets of varying size and complexity, from small-scale experimental data to large-scale manufacturing or sensor data. Proficiency in Python, with the ability to write clean and reproducible analysis scripts. Familiarity with machine learning concepts (regression, classification, clustering, etc.) and willingness to learn advanced methods such as deep learning, computer vision, or generative AI. Strong problem-solving skills with logical approach. Strong verbal and written communication skills Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with people from different culture backgrounds. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Requirements

• BS degree in statistics, physics, computer science, engineering, applied mathematics, data science or related field, with the intentions of completing a MS or Ph.D. in one of these fields or Data Science.
• Must be a current student and must not graduate before Dec. 2027.
• Strong desire to apply data science to solve complex technical and business challenges such as improving yield, reducing cycle time, optimizing processes, or enhancing product quality.
• Working knowledge of SQL or other query languages for data extraction, transformation, and integration.
• Ability to handle datasets of varying size and complexity, from small-scale experimental data to large-scale manufacturing or sensor data.
• Proficiency in Python, with the ability to write clean and reproducible analysis scripts.
• Familiarity with machine learning concepts (regression, classification, clustering, etc.) and willingness to learn advanced methods such as deep learning, computer vision, or generative AI.
• Strong problem-solving skills with logical approach.
• Strong verbal and written communication skills
• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with people from different culture backgrounds.

Responsibilities

• Conduct exploratory data analysis, feature engineering, and model development using modern statistical and machine learning methods.
• Apply techniques across one or more domains such as signal processing, image analytics, time-series analysis, anomaly detection, optimization, and predictive modeling.
• Implement and evaluate machine learning algorithms, including classical ML, deep learning, and generative AI techniques where appropriate.
• Develop software, scripts, and automated workflows to cleanse, integrate, and analyze large-scale datasets from diverse sources.
• Work with structured, semi-structured, and unstructured data, applying data quality, data governance, and reproducibility best practices.
• Collaborate with engineering teams to translate analytical findings into actionable insights and deployable solutions.
• Utilize cloud platforms (GCP, Snowflake, etc.) and modern data engineering pipelines to support scalable model development and experimentation.

Benefits

• We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees