ML Research Intern: Design Algorithms & Market Impact

IMC; Sydney; On-site; AUD 33,000 - 60,000; Full time

Benefits offered by this job

Travel

Accommodation

Job summary

IMC is offering a Machine Learning Internship in Sydney designed for researchers who want to apply ML to real-world trading problems. Over 10–12 weeks, you’ll work with mentors to develop models, analyze large-scale datasets, and contribute to research informing IMC’s trading strategies across markets.

High-performing interns may be considered for a full-time Graduate Researcher role upon graduation. You’ll gain hands-on experience designing experiments, evaluating novel approaches, and tackling

Qualifications

• Pursuing a PhD in a quantitative field such as ML, CS, EE, Math, Statistics or Physics.
• Strong foundations in ML, probability and statistics with real-world applications.
• Hands-on research in deep learning, neural networks, sequence modeling or optimization.
• Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX.

Responsibilities

• Design, develop, and apply original ML algorithms on large datasets.
• Analyze large‑scale datasets, build predictive models, and compare approaches.
• Gain hands‑on project experience with mentorship and feedback from researchers.
• Enhance understanding of quantitative trading through classroom and on‑desk training.

Skills

PhD candidate

ML fundamentals

Python

PyTorch

Research experience

Education

PhD in ML/CS

Tools

PyTorch

TensorFlow

JAX

Job description

IMC is offering a Machine Learning Internship in Sydney designed for researchers who want to apply ML to real-world trading problems. Over 10–12 weeks, you’ll work with mentors to develop models, analyze large-scale datasets, and contribute to research informing IMC’s trading strategies across markets.

High-performing interns may be considered for a full-time Graduate Researcher role upon graduation. You’ll gain hands-on experience designing experiments, evaluating novel approaches, and tackling