ML Research Intern: Shape Trading Models & Data

ittihad medical centre; Sydney; On-site; AUD 55,000 - 82,000; Full time

Benefits offered by this job

Travel

Accommodation provided

Job summary

IMC is offering a Machine Learning Internship of 10–12 weeks where you will work with experienced researchers to design, implement, and evaluate ML models for global equities, futures, and options markets. You will analyze large datasets, design experiments, and contribute to research that informs trading strategies.

Participants gain hands-on experience and mentorship, with classroom and on-desk training, plus a competitive compensation package including travel and accommodation.

Qualifications

• 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 research problems.
• Hands-on research in deep learning fundamentals: neural networks, sequence modeling, training dynamics, or optimization.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and/or JAX.
• Publications or research internships; NeurIPS/ICML/ICLR or similar venues preferred.

Responsibilities

• Conduct hands-on research to design, develop, and apply original ML algorithms with mentor support.
• Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to market problems.
• Develop research skills through project work, mentorship, and feedback from researchers.
• Enhance understanding of quantitative trading through classroom and on-desk training.

Skills

ML foundations

Deep learning

Python

ML frameworks

research publications

Education

PhD in a quantitative field

Tools

PyTorch

TensorFlow

JAX

Job description

IMC is offering a Machine Learning Internship of 10–12 weeks where you will work with experienced researchers to design, implement, and evaluate ML models for global equities, futures, and options markets. You will analyze large datasets, design experiments, and contribute to research that informs trading strategies.

Participants gain hands-on experience and mentorship, with classroom and on-desk training, plus a competitive compensation package including travel and accommodation.