Full Stack Developer - Materials Discovery Research Institute

Job Description

We have an exciting opportunity for aFull Stack Developer at UL Research Institutes, based onsite in our Skokie, Illinois, office.

The Full Stack Developer is responsible for building and maintaining platforms that allow research scientists to access and use machine learning (ML) models. The Full Stack Developer collaborates with data engineers, data scientists, and research scientists to ensure the seamless integration of ML models into a no-code environment, enabling researchers to run, evaluate, and interpret models with ease.

UL Research Institutes:

At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking the tough questions because we believe a safer world begins with knowledge.

Build a safer, more secure, and sustainable future with us. Join us and work with our Materials Discovery teams who conduct the research required to produce that knowledge and put into practice.

Materials Discovery Research Institute:

The Materials Discovery Research Institute (MDRI) works to develop and deploy new materials with the potential to address current global safety challenges. Pursuing materials that will help produce transformational safety breakthroughs, MDRI harnesses the power of advanced computing and high-throughput experimental methods to create innovative materials that will produce resilience for a sustainable future and protect individual and societal health.

We focus on today’s critical challenges, working to create new and better materials that will support renewable energy and environmental sustainability. Among our top priorities is research into materials capable of carbon capture and energy storage, with an eye toward reducing the adverse impacts of humanity’s reliance upon fossil fuel resources and enabling a transition to renewable energy sources.

Above all, our research builds on our commitment to a safer, more sustainable future.

What you’ll learn and achieve:

As the Full Stack Developer, you will play a key role in the rapid growth of ULasyou:

• Develop, test, and maintain web applications, ensuring robust front-end and back-end functionality.
• Design and build scalable APIs and services to facilitate seamless integration of ML models.
• Implement cloud-based solutions for application hosting, scalability, and security.
• Develop intuitive user interfaces to support research scientists in using ML tools effectively.
• Optimize application performance, ensuring reliability and efficiency across the technology stack.
• Work with data scientists to integrate ML models into production environments, improving accessibility.
• Maintain and enhance software documentation, ensuring clear guidance for users and developers.
• Support database management, including data modeling and query optimization.
• Troubleshoot and resolve software issues, implementing proactive solutions to enhance 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.

• Performs other duties as directed.

What you’ll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.

• People: Our people make us special. You’ll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today’s global challenges require.
• Interesting work: Every day is different for us here. We see what’s on the horizon and use our expertise to build the foundations of a safer future. You’ll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
• Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.
• Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.
• Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes :

• 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.[FH1.1]
• Experience designing and maintaining cloud-based architectures (AWS, Azure, or GCP).
• Strong working knowledge of relational and non-relational databases (SQL, NoSQL) and data integration best practices.
• Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
• Strong relationship management skills.
• Positive and collaborative attitude and interpersonal skills to work effectively with leaders and colleagues across the organization.
• Must be a self-starter and possess excellent leadership qualities.

Professional education and experience requirements for the role include:

• Bachelor’s degree in computer science, software engineering, or equivalent combination of education and experience.
• Minimum 4 years of experience in full-stack development, preferably with experience in deploying machine learning models.
• Prior experience in creating no-code or low-code solutions for non-technical users is a plus.

About UL Research Institutes and UL Standards & Engagement

UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.

To learn more, visit our websites UL.org and ULSE.org.

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