R&D Color Science Co-op: AI-Driven ML GUI for Coatings

The Sherwin-Williams Company; Brecksville (OH); On-site; USD 25,000 - 39,000; Full time

Job summary

The Sherwin-Williams Company is seeking a 6-month co-op in the R&D Performance Coatings Group Innovation team, starting January 2027. The co-op will be assigned to a mentor and work on innovation projects across color needs for multiple business units at Morikis Global Technology Center, Brecksville, OH.

Duties include creating a graphical user interface for machine learning models, developing code for model retraining and data handling, and building an optimization solver.

Qualifications

• Enrolled in a Bachelor's degree program in Computer Science, Chemistry, Color Science, Physics, or Engineering.
• Programming experience in Python, C++, or similar.
• Experience building graphical user interfaces and modular programming.
• Experience working with machine learning models.

Responsibilities

• Create a graphical user interface to machine learning models.
• Develop the code to handle model retraining and data handling (e.g., in a database) and data retrieval.
• Develop a solver that can efficiently run machine learning models for optimization.
• Leverage learnings and good practices to PCG business units.
• Adhere to all quality and safety policies and procedures.
• Maintain a safe, clean, organized work area.
• Performs other duties as assigned.

Skills

Python

C++

GUI development

Modular programming

ML models

Education

Bachelor's degree (CS/Engineering)

Tools

Databricks

Minitab

MS Office

Job description

The Sherwin-Williams Company is seeking a 6-month co-op in the R&D Performance Coatings Group Innovation team, starting January 2027. The co-op will be assigned to a mentor and work on innovation projects across color needs for multiple business units at Morikis Global Technology Center, Brecksville, OH.

Duties include creating a graphical user interface for machine learning models, developing code for model retraining and data handling, and building an optimization solver.