Machine Learning Research Intern - Summer 2027 - Sydney

IMC; Sydney; Presencial; AUD 33.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Travel

Accommodation

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

PhD candidate

ML fundamentals

Python

PyTorch

Research experience

Educación

PhD in ML/CS

Herramientas

PyTorch

TensorFlow

JAX

Descripción del empleo

ROLE OVERVIEW

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.

YOUR CORE 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

YOUR SKILLS AND EXPERIENCE

• 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
• Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
• 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

About Us

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.