AI Intern (Fall 2026)

About the role

First Solar interns work globally in various departments including research and development, marketing, project development, information technology, engineering, energy services, and more. Interns are offered real-world experience and opportunities to develop new skills.

Responsibilities

• Help Develop pipelines that extract significant features from key data sets.
• Build custom analytical tools.
• Contribute to automated scripting and analysis for larger software packages.
• Support the team to perform data extraction, cleaning, analysis, and deliver actionable insights.
• Contribute to feature selection and development of machine learning models to uncover value of data.
• Collaborate with cross-functional teams to understand their needs and perform ad hoc analysis.
• Present accomplishments and project summary to the leadership team upon completion of the internship.

Requirements

• Must be pursuing an Engineering, Mathematics, Data Science, Computer Science, or a related field degree.
• Must currently be enrolled in a Masters program, fulfilling a graduation requirement.
• Ability to review coding manuals to learn new syntax independently.
• Ability to review and understand the purpose of existing scripts.
• Proficiency in Python or R for data analysis and machine learning.
• Skilled in exploration data analysis and feature engineering.
• Familiarity with SQL for data querying and manipulation.
• Robust knowledge and experience with statistical methods and classification models.
• Demonstrated analytical, multi-tasking, problem-solving, organizational, and planning skills.
• Clear communication skills and ability to work well in a team environment.
• Experience with fundamental technologies in a Microsoft environment: Windows OS, Office 365, etc.

Qualifications

• Must have completed at least one year of college coursework.
• Must be enrolled in a Masters program.
• Must be available for a minimum of 3 months during the Fall semester.

Skills

• Ability to review coding manuals to learn new syntax independently.
• Ability to review and understand the purpose of existing scripts.
• Proficiency in Python or R for data analysis and machine learning.
• Skilled in exploration data analysis and feature engineering.
• Familiarity with SQL for data querying and manipulation.
• Robust knowledge and experience with statistical methods and classification models.
• Demonstrated analytical, multi-tasking, problem-solving, organizational, and planning skills.
• Clear communication skills and ability to work well in a team environment.
• Experience with fundamental technologies in a Microsoft environment: Windows OS, Office 365, etc.

Benefits

Interns are eligible to register their internship with their university.

Pay

$29.00-$30.00/hr.

Schedule

Hybrid schedule, combining remote and in-office work.

Physical Requirements

• Sit, stand, or walk short distances for up to the entire duration of a shift.
• Climb stairs on an occasional basis.
• Lift, push, or pull up to 37 pounds on an occasional basis.
• Use hands to grasp, lift, handle, carry, or feel objects on a frequent basis.
• Have 20/40 vision in both eyes together, with or without correction.
• Comply with all safety standards and procedures.
• Reach above shoulder heights and below the waist on a frequent basis.
• Stoop, kneel, or bend, on an occasional basis.
• Wear personal protective equipment as required (steel-toed shoes, gloves, safety glasses, hearing protection, protective jacket or apron, arm guards, and a condition of employment and continued employment requires little or no facial hair for those requiring respirator use).