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About the Role
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.
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.
Requirements
- 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.
- 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.
Skills
- Python
- PyTorch
- Tensorflow
- JAX
Experience Level
- Internship
Education Level
- PhD
Salary/Compensations
- Highly competitive compensation package, including travel and accommodation.
About the Company
- IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone.
- Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend.
- Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back.
- From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.