Machine Learning Research Intern - Summer 2027 - Sydney

IMC B.V.; Sydney; Hybrid; AUD 20,000 - 33,000; Full time

Benefits offered by this job

Travel covered

Accommodation included

Mentorship program

Job summary

IMC invites applications for a Machine Learning Internship spanning 10–12 weeks. You will work with experienced researchers to design experiments, analyze large datasets, and contribute to models informing IMC's trading strategies across global equities, futures, and options markets.

You will receive classroom and on-desk training, mentorship, and networking opportunities, with a highly competitive compensation package including travel and accommodation.

Qualifications

• Pursuing a PhD in a quantitative field related to ML or CS.
• Strong ML foundations with probability and statistics.
• Hands-on research in deep learning and model optimization.

Responsibilities

• Design, develop, and apply original ML algorithms to market-related problems.
• Analyze large-scale datasets and evaluate novel approaches.
• Collaborate with researchers and mentors to advance projects.
• Engage in classroom and on-desk training on options theory and market making.

Skills

ML foundations

Probability & statistics

Deep learning

Python

PyTorch

TensorFlow

JAX

Research excellence

Education

PhD in Machine Learning, CS, EE, Math, Stats, Physics, or related

Tools

PyTorch

TensorFlow

JAX

Job description

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 architectures, sequence modeling, training dynamics, or optimization


• Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX


• Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.