Machine Learning Engineer Intern - Summer 2027
- Region
- 🇺🇸 United States
- Work mode
- On-site
- Category
- AI/ML
- Level
- Student/Intern
- Season
- Summer
About the company & role
Our 10-week internship is your chance to experience life as a Machine Learning Engineer at IMC. You’ll have the support you need to succeed: educational trainings and a mentor who will oversee your work and professional development. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a graduate position at the end of the program. Where you go from here is up to you! As a Machine Learning Engineer intern at IMC, you’ll play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities. Your Core Responsibilities: Work on meaningful and challenging projects that have the potential to impact our business Participate in classroom-based training covering an overview of financial markets, IMC technology and coding fundamentals Build valuable connections with traders and technologists in an environment that rewards problem solving, innovation and teamwork Engage in professional development sessions aimed at helping you envision your future at IMC Attend a full schedule of events and social activities throughout the summer to get to know your cohort and IMCers Your Skills and Experience: Current university student graduating between September 2027 - July 2028 that is pursuing a Computer Science, Engineering, or a r