Machine Learning Research Intern - Summer 2027 - Sydney

About the role

This 10-12 week Machine Learning Research Internship offers hands-on experience developing ML models and analyzing large datasets to support IMC's trading strategies. Interns receive mentorship, training, and networking opportunities in a collaborative environment with competitive compensation.

Role Overview

• Apply machine learning to complex, real-world trading problems.
• Work alongside experienced researchers and mentors.
• Develop models and analyze large-scale datasets.
• Contribute to research informing global equities, futures, and options trading.
• Gain hands-on experience designing experiments and evaluating approaches.
• Collaborate in a fast-paced environment with real-world impact.

Core Responsibilities

• Conduct research to design and apply original ML algorithms.
• Analyze large datasets and develop predictive models.
• Evaluate novel approaches to complex market problems.
• Develop research skills through projects and mentorship.
• Receive classroom instruction on options theory and market making.
• Participate in professional development and networking.

Skills and Experience

• Pursuing a PhD in ML, CS, EE, Math, Stats, Physics, or related field.
• Strong foundations in ML, probability, and statistics.
• Experience with advanced ML techniques and deep learning fundamentals.
• Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX.
• Research excellence demonstrated by publications or internships.
• Preferred publications at NeurIPS, ICML, ICLR, or equivalent.

Program Details

• Duration: 10-12 weeks during summer 2027.
• Includes classroom and on-desk training.
• Highly competitive compensation with travel and accommodation.
• High-performing interns may be considered for full-time roles.
• Application limited to one role per year.
• Reapplication allowed in next recruitment season (2027).