Research & Development Intern: Artificial Intelligence and Machine Learning

Research & Development Intern: Artificial Intelligence and Machine Learning

Start Date: Immediate through Summer 2026

Reports to: Senior Scientist for Analytics

Would you like to work for a company where ambitious spirits and creativity thrive? L&L Products offers a culture that grows talent and flourishes with innovation. It is a place where you are encouraged take control of your own professional development by using L&L’s extensive training opportunities to craft solutions to the industry’s hottest problems. Here is where quality of work, product and relationships are a priority. 

L&L Products is built on the basic philosophy that good people working together, listening to each other’s ideas with an open mind and everyone wanting to do a little better each day will ensure our success. Our existence is full of wise principles, sacrifices and victories, laughs, and lasting memories that tell exactly who we are. How we came to be the great company, the caring family that we are today.

What you’ll do: As an R&D Intern, you’ll work in a modern Research Laboratory environment and gain experience in a diverse product line. We are seeking a highly motivated Intern to join our R&D group focused on Artificial Intelligence, Machine Learning, and Predictive Modeling. The candidate will contribute to the development of data-driven tools and applications that support product development, manufacturing optimization, chemical formulation modeling, and broader business decision-making.

Duties / Responsibilities of this position: 

• Develop, validate, and refine predictive models for material behavior, chemical formulation performance, and manufacturing processes.
• Analyze laboratory, production, and process data to extract insights and support decision-making across R&D and operations.
• Build and maintain Python-, R-, and/or MATLAB-based tools, scripts, and applications used internally for analytics, prediction, visualization, forecasting and modeling workflows.
• Collaborate with cross-functional teams—including R&D, Engineering, Quality, and Manufacturing—to understand technical needs and deliver actionable solutions.
• Assist in designing data pipelines, cleaning datasets, and preparing structured inputs for machine learning model development.
• Document methodologies, maintain organized code repositories, and contribute to standardizing best practices for model development and deployment.
• Communicate findings, model results, and recommendations clearly to technical and non-technical audiences, including global R&D teams. Create visualizations of trends and generate interpretable structure–property maps for a variety of business and science domains.
• Work independently while also collaborating in a research team enabling creation of new materials and business tools that provide high impact results to many business units inside our company.

Job Requirements:

• Pursuing or holding a BS or MS degree in Data Science, Statistics, Applied Mathematics, Computational Science, Chemistry, Chemical Engineering, Computer Science, Materials Science, or a related discipline.
• Proficiency in at least one programming language such as Python, R, or MATLAB, with the ability to write clean, well-structured code.  Experience in scientific computing and data analysis libraries such as PyTorch, SciKit-Learn, SciPy, TensorFlow, etc.
• Foundational understanding of machine learning techniques, numerical modeling, or statistical analysis.
• Strong problem-solving skills and the ability to work both independently and as part of cross-functional technical teams.
• Effective communication skills, including the ability to present analytical results to both technical and non-technical stakeholders.
• Desire to work in a hands-on research laboratory preparing chemical compounds using modern mixing protocols, create mechanical and chemical test samples, conduct physical and chemical tests to obtain pertinent properties.
• Interest in statistical modeling, linear algebra, and willingness to expand on current academic training. Professional development courses available.
• Ability to clearly present technical findings in written reports and oral presentations.
• Comfortable working in a cross-disciplinary R&D team environment.

Competencies: 

• Demonstrates the ability to apply computational and cheminformatics tools to real-world chemical formulation challenges.
• Curious, motivated to explore new methods, and capable of proposing creative approaches to complex modeling tasks.
• Able to learn and apply new methods quickly while working with evolving project requirements.
• Commitment to laboratory safety and data integrity.

Physical Demands Analysis: 

• Light to moderate lifting may be required
• Continuous computer work, keyboarding, computer mouse, and computer monitor
• Rare climbing stairs, bending, and stooping
• Personal Protective Equipment Requirements (PPE): safety shoes, safety glasses, cut-resistant gloves, hearing protection, and other PPE.

Equal Opportunity Employer

L&L Products does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, weight, height, marital status, disability, or any other characteristic protected by law. L&L Products will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in undue hardship.