IMC
Deep Learning Research Intern - 2027 - Sydney
Sydney, Australia +2 · Internship · Posted Aug 24, 2026
- Location
- Sydney, Australia
Amsterdam, Netherlands
New York, United States - Education
- Pursuing a PhD in a listed or related quantitative field.
About the job
Conduct machine learning research for quantitative trading by developing predictive models, analyzing market data, and evaluating approaches to complex market problems.
What you'll do
- Design, develop, and apply original machine learning algorithms.
- Analyze large-scale datasets, build predictive models, and evaluate novel approaches to market problems.
- Develop research skills through project work and mentorship, and learn quantitative trading topics through classroom instruction.
What they ask for
- 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.
- 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.
Nice to have
- Research excellence demonstrated through publications, preprints, research internships, or significant research projects.
- Publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences.
Tools
Python, PyTorch, Tensorflow, JAX
AI focus
Research and develop machine learning and deep learning models and algorithms for quantitative trading.
Model-written summary · the original posting is authoritative