IMC Trading
Deep Learning Research Intern - 2027 - Sydney Sydney, Australia
Eligibility
- Enrolled in a doctoral (PhD) program.
- Ability to work full-time for 10-12 weeks during the internship period.
A 10-12 week summer internship in Sydney for PhD students to conduct deep learning research supporting IMC's quantitative trading strategies, including mentorship and potential full-time offers.
Responsibilities
- Conduct research and develop machine learning algorithms for market problems.
- Analyze large-scale datasets and develop predictive models.
- Participate in classroom and on-desk training about quantitative trading.
- Receive mentorship and feedback from experienced researchers.
Requirements
- Current PhD candidate in ML, CS, EE, Math, Stats, Physics, or related field.
- Strong foundations in ML, probability, statistics, and hands-on research experience in deep learning.
- Proficiency in Python and ML frameworks such as PyTorch or Tensorflow.
- Demonstrated research excellence including publications or projects.
Skills
- Deep learning frameworks (PyTorch, Tensorflow, JAX).
- Machine learning theory and practice.
- Research skills and experimentation.
- Programming in Python.
- Last checked