Data Science Intern: AI/ML R&D & Mentorship

Micron Technology, Inc.; San Jose (CA); On-site; USD 50,000 - 77,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. is seeking a Data Science Intern in San Jose to work on cutting-edge AI/ML initiatives that enhance product development and optimization. You will build and apply models, collaborate with engineering teams, and stay current with evolving data science techniques.

The role offers mentorship, real-world project experience, and exposure to industry experts in a dynamic environment. Excellent communication in English is required as part of daily collaboration.

Qualifications

• Currently pursuing a Bachelor’s, Master’s, or PhD in Data Science, Computer Science, or a related field, or equivalent experience.
• Knowledge of predictive modeling, statistics, regression analysis, and deep learning through coursework.
• Proficiency in programming languages such as Python, PyTorch, TensorFlow, or R.
• Strong written and verbal communication skills in English.

Responsibilities

• Build and apply AI and ML solutions to support product development, validation, and optimization.
• Collaborate with engineering teams to identify domain challenges and develop advanced data analysis methods.
• Know the latest with emerging data science techniques and apply them to solve complex problems.
• Engage in mentorship and learning opportunities with industry experts.

Skills

Predictive modeling

Statistics

Regression analysis

Deep learning

Python

PyTorch

TensorFlow

R

English communication

Education

Bachelor’s/Master’s/PhD in Data Science or CS or related

Tools

Python

PyTorch

TensorFlow

R

Job description

Micron Technology, Inc. is seeking a Data Science Intern in San Jose to work on cutting-edge AI/ML initiatives that enhance product development and optimization. You will build and apply models, collaborate with engineering teams, and stay current with evolving data science techniques.

The role offers mentorship, real-world project experience, and exposure to industry experts in a dynamic environment. Excellent communication in English is required as part of daily collaboration.