Full Stack Developer - Materials Discovery Research Institute

UL Research Institutes • Skokie, IL

4d • Onsite

About The Position

The Full Stack Developer builds and maintains platforms that enable research scientists to access and use machine learning (ML) models. Working with data engineers, data scientists, and research scientists, the developer integrates ML models into a no-code environment so researchers can run, evaluate, and interpret models. The role is based onsite at UL Research Institutes’ office in Skokie, Illinois, and supports the Materials Discovery Research Institute’s research into new materials addressing global safety and sustainability challenges.

The position develops and maintains web applications, APIs, cloud solutions, user interfaces, databases, and internal research tools. It also supports model deployment, application reliability and performance, software documentation, and resolution of software issues. The developer collaborates across teams to align development with research and business objectives.

UL Research Institutes is a nonprofit organization dedicated to advancing safety science. Its Materials Discovery Research Institute uses advanced computing and high-throughput experimental methods to develop materials, including those supporting carbon capture, energy storage, renewable energy, and environmental sustainability.

Requirements

• Proficiency in full-stack development using the .NET framework, including front-end technologies such as React, Angular, or Vue, and back-end development with C#, ASP.NET, and/or Python for machine learning integration or microservices.
• Experience designing and maintaining cloud-based architectures using AWS, Azure, or GCP.
• Strong working knowledge of relational and non-relational databases (SQL and NoSQL) and data integration best practices.
• Excellent communication skills, including the ability to explain technical concepts to non-technical audiences.
• Strong relationship management skills.
• Positive, collaborative attitude and interpersonal skills to work effectively with leaders and colleagues across the organization.
• Self-starter with excellent leadership qualities.
• Bachelor’s degree in computer science, software engineering, or an equivalent combination of education and experience.
• Minimum 4 years of experience in full-stack development.

Nice To Haves

• Experience deploying machine learning models.
• Prior experience creating no-code or low-code solutions for non-technical users.

Responsibilities

• Develop, test, and maintain web applications with robust front-end and back-end functionality.
• Design and build scalable APIs and services to integrate machine learning models.
• Implement cloud-based solutions for application hosting, scalability, and security.
• Develop user interfaces that help research scientists use machine learning tools effectively.
• Optimize application performance and ensure reliability and efficiency across the technology stack.
• Work with data scientists to integrate machine learning models into production environments.
• Maintain and enhance software documentation for users and developers.
• Support database management, including data modeling and query optimization.
• Troubleshoot and resolve software issues, implementing proactive measures to improve system stability.
• Collaborate with cross-functional teams to align software development with research and business objectives.
• Develop and maintain internal research tools in collaboration with research scientists.
• Perform other duties as directed.

Benefits

• Bonus compensation eligibility for all employees.
• Comprehensive medical, dental, vision, and life insurance plans.
• 401(k) matching of up to 5% of eligible pay.
• An additional 4% contribution to retirement savings after the first year of continuous employment.
• Depending on the role, flexible working arrangements may be discussed with the manager.
• Paid time off, including vacation, holiday, sick, and volunteer days.
• Targeted development, reward, and recognition programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level