Deep Learning Research Intern - 2027 - Sydney
Salary not listed • Sydney, Australia • Internship
Posted 2mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Remote Work Policy
On-site
Employment Type
Internship
Categories
Machine Learning Engineer
About the job
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.
Responsibilities
- Conduct hands-on research to design, develop, and apply original machine learning algorithms.
- Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems.
- Develop research skills through hands-on project work, mentorship, and regular feedback.
- Enhance understanding of quantitative trading through classroom-based instruction.
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.
- Experience applying advanced ML techniques to solve challenging research or real-world problems.
- Demonstrated hands-on research experience in deep learning fundamentals (e.g., neural network architectures, sequence modeling, training dynamics, optimization).
- Proficiency in Python and modern machine learning frameworks (PyTorch, Tensorflow, JAX).
- Demonstrated research excellence through publications, preprints, research internships, or significant research projects (publications at top-tier conferences are highly preferred).
Benefits
- Highly competitive compensation package.
- Travel and accommodation included.
- Potential for full-time Graduate Researcher position upon graduation for high-performing interns.