Machine Learning Research Intern - Summer 2027 - Sydney

IMC B.V.; Amsterdam; On-site; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Travel and accommodation

Job summary

IMC B.V. is seeking a Machine Learning intern to tackle real-world trading problems over 10–12 weeks. You'll design experiments, build models, and evaluate approaches under mentorship, with exposure to quantitative trading across global markets.

The program includes classroom and on‑desk training, professional development and networking, and a competitive compensation package including travel and accommodation.

Qualifications

• PhD or in-progress PhD in a quantitative field such as ML, CS, EE, math, statistics, physics.
• Strong foundations in ML, probability and statistics; experience applying ML to research problems.
• Hands-on research experience in deep learning, neural networks, or sequence modeling.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Publications in NeurIPS/ICML/ICLR or similar preferred.

Responsibilities

• Design, develop, and apply original ML algorithms with support to innovate.
• Analyze large-scale datasets, build predictive models, evaluate approaches.
• Advance research skills through project work, mentorship, feedback.
• Enhance understanding of quantitative trading via classroom topics and market knowledge.

Skills

Deep learning

Neural networks

Sequence modeling

Optimization

Python

Education

PhD in ML/CS/EE/Math/Statistics/Physics or related

Tools

PyTorch

TensorFlow

JAX

Job description

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.