Machine Learning Research Intern - Summer 2027 - Amsterdam

IMC is recruiting for Machine Learning Research Intern - Summer 2027 - Amsterdam in Amsterdam, Netherlands. This listing was last seen on the firm's own job board on August 22, 2026.

Options market making with a technology-first culture and a lighter maths bar than its Amsterdam neighbour.

What sets IMC apart: Traders and engineers hired into the same programme and trained together. Lower mental maths bar than Optiver, higher weight on logic puzzles. Strong campus presence in the Netherlands, Chicago, and India.

Related preparation: Quantitative Researcher (QR) Career Roadmap, Machine Learning Quant Career Roadmap, Quant Strategist (Desk Quant) Career Roadmap, Quant Data Scientist (Alternative Data) Roadmap, Quant Research Ops (MLOps) Roadmap and Financial Data Scientist Career Roadmap.

The role, as IMC describes it, published on July 6, 2026 and reproduced from their job board:

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10 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 begin with a week of engaging, classroom-based learning in the proprietary trading landscape, then 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. Split…

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. You'll receive comprehensive support from dedicated internship trainers and a one-on-one mentor to guide you in your work and professional development. We offer a highly competitive compensation package, including fully-furnished corporate accommodation and catered meals. 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:

Currently in your penultimate year of study, graduating in 2028

A minimum of an MSc in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field

Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field