R&D Digital Innovation Intern: AI, ML & Data Tools

ingredion; Bridgewater (MA); Hybrid; USD 25,000 - 41,000; Part time

Benefits offered by this job

Housing stipend

Capstone Summit at Ingredion HQ

Job summary

Ingredion is offering a summer 2027 Digital Innovation Intern opportunity in Bridgewater, NJ, with a hybrid work arrangement (3 days on-site). You will accelerate predictive formulation and digital innovation by building tools for data capture, model development, and virtual experiments.

You will work with formulation scientists and AI leaders to apply machine learning, LLMs, and agentic approaches to scientific data and knowledge extraction. A Bachelor’s or Master’s degree pursuit is required.

Qualifications

• Pursuing a degree in a relevant field with focus on data science or AI.
• Experience with Python for data analysis, model development, or automation.
• Familiarity with ML/AI, image analysis, and data visualization is preferred.

Responsibilities

• Review literature and emerging technologies in predictive formulation, ML, AI, and automated data capture.
• Develop digital tools for data capture, quality assessment, feature extraction, and model workflows.
• Build predictive models and virtual experiments to explore formulation space and visualize results.
• Explore AI/LLM and agentic approaches for knowledge extraction and workflow automation.
• Design reusable code with clear documentation, guides, and examples for future projects.

Skills

Python

Data analysis

Machine learning

Artificial intelligence

LLMs

Image analysis

Computational chemistry

Data visualization

Education

Bachelor’s or Master’s in Data Science, CS, AI, Engineering, Food Science, Chemical Engineering, Bioinformatics, Computational Chemistry

Job description

Ingredion is offering a summer 2027 Digital Innovation Intern opportunity in Bridgewater, NJ, with a hybrid work arrangement (3 days on-site). You will accelerate predictive formulation and digital innovation by building tools for data capture, model development, and virtual experiments.

You will work with formulation scientists and AI leaders to apply machine learning, LLMs, and agentic approaches to scientific data and knowledge extraction. A Bachelor’s or Master’s degree pursuit is required.