Open Source Research Software Engineer

The University of Chicago Data Science Institute (DSI) is seeking an Open Source Research Software Engineer to join their innovative team. This role, reporting to the Director of AI + Science, focuses on developing open-source software to support cutting-edge research priorities. The position offers a unique opportunity to work at the intersection of software engineering and academic research, with a special emphasis on machine learning and artificial intelligence applications.

The role involves collaborating with interdisciplinary research groups across the university, designing and implementing robust, scalable solutions for computational and scientific research. You'll be working directly with the AI + Science Postdoctoral Program, helping to train the next generation of domain scientists in artificial intelligence applications.

As an OSRSE, you'll be responsible for designing complex software systems, optimizing ML/AI algorithms, and maintaining high-quality, reusable code. The position offers a competitive salary range of $102,000-$129,000 and includes comprehensive benefits such as health insurance, retirement benefits, and paid time off.

The ideal candidate will bring strong technical expertise in Python, Linux, and modern software development practices, combined with experience in ML/AI systems and high-performance computing environments. This is an excellent opportunity for a seasoned software engineer passionate about open-source development and interested in advancing scientific research through technology.

Working in a hybrid environment at one of America's premier research institutions, you'll have the chance to make significant contributions to cutting-edge research while collaborating with leading academics and researchers. The role offers both technical challenges and the satisfaction of supporting important scientific discoveries through software engineering excellence.