MACHINE LEARNING INTERN

Our 10-week internship programme in Amsterdam is your chance to experience life as a Machine Learning Intern at IMC. As a Machine Learning Intern at IMC, you will delve into the proprietary trading landscape during a week of engaging and challenging classroom-based learning, continue to hone your skills with a meaningful project, and build a valuable network of IMC traders and engineers. Throughout the summer, you will receive comprehensive support from dedicated internship trainers, and a one-on-one mentor to guide you in your work and professional development. You will benefit from a highly competitive compensation package, fully-furnished corporate accommodation, catered meals, and experience IMC’s collaborative culture as if you’re already a full-time employee. Where you go from here is up to you!

YOUR CORE RESPONSIBILITIES

• Accelerating training of our ML trading models on a distributed environment
• Automating ML workflows, experiment evaluation and management, hyperparam tuning (autoML) & retraining to help traders in evaluating models
• Work on-and improve our growing GPU hardware cluster (data pipeline design, leveraging libraries such as GPUDirect & DALI)
• Build next generation ML driven trading strategies

• Attend workshops, trainings, and other fun social activities alongside the full internship cohort

YOUR SKILLS AND EXPERIENCES

• MSc. Graduates from top tier universities, with specialisation in machine learning, statistics, deep learning, probabilistic programming
• Experience in fundamental ML frameworks like Pytorch and Jax
• Experienced in Python, experience in C++ is highly desired
• Candidates with publications in respected journals in deep learning, GNNs, time-series models
• Genuine interest in financial markets (no prior knowledge or experience is required)
• Must be able to start the internship on June 23, 2025

Please note: If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in September 2025. We encourage you to focus on enhancing your skillset before reapplying.