Machine Learning Research Intern - Summer 2027 - Sydney

ROLE OVERVIEW Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10–12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact. Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation. YOUR CORE RESPONSIBILITIES: Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate. Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics YOUR SKILLS AND EXPERIENCE: Pursuing a PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or a related quantitative field Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems Demonstrated hands-on research experience in deep learning fundamentals such as neural network archit