Data Science Intern: ML & AI Projects, Auburn Hills

faurecia S.A.; Auburn Hills (MI); On-site; USD 28,000 - 40,000; Full time

Benefits offered by this job

Online and in-person training

Diverse multicultural environment

Commitment to sustainability

Job summary

faurecia S.A. in Auburn Hills, Michigan is seeking a Data Science Intern to assist in designing and testing machine learning models. You will work with engineering and business teams, utilizing Python and frameworks like PyTorch and TensorFlow.

This internship is perfect for students enrolled in computer science or data analysis programs expected to graduate in 2027 or later. The role offers extensive training and a commitment to sustainability within a diverse environment.

Qualifications

• Enrolled in a Bachelor's or Master's degree program.
• Majors in computer science, data analysis, or a related field.
• Graduation in 2027 or later.
• Minimum 2.8 GPA.

Responsibilities

• Assist in designing, building, and testing machine learning models.
• Support the development of end-to-end ML workflows.
• Collaborate with engineering, manufacturing, and business teams.
• Help optimize model performance under guidance.
• Use Python and common machine learning frameworks.
• Assist in integrating models into applications and workflows.
• Contribute to exploratory AI initiatives.
• Document code, experiments, and findings.
• Stay current with emerging trends.

Skills

Machine learning

Python

Data analysis

Excel

Education

Enrolled in Bachelor's or Master's program

Tools

PyTorch

TensorFlow

scikit-learn

Job description

faurecia S.A. in Auburn Hills, Michigan is seeking a Data Science Intern to assist in designing and testing machine learning models. You will work with engineering and business teams, utilizing Python and frameworks like PyTorch and TensorFlow.

This internship is perfect for students enrolled in computer science or data analysis programs expected to graduate in 2027 or later. The role offers extensive training and a commitment to sustainability within a diverse environment.