Deep Learning Research Intern - Summer 2027 - Amsterdam

About this role

Our 9-week internship is your chance to experience life as a Deep Learning Researcher at IMC. You'll have access to rich, large-scale datasets and modern training infrastructure, and see firsthand how rigorous research translates into real-world results. No prior financial industry experience is required; we are looking for scientific thinkers who are passionate about advancing deep learning research. We provide a highly competitive compensation package with accommodations included.

The bar for talent at IMC is high, and interns who meet our performance expectations will have the opportunity to secure a full-time Graduate Deep Learning Researcher position at the end of the program. Where you go from here is up to you! YOUR CORE RESPONSIBILITIES: Team up with Deep Learning Researchers on real projects to build or improve models that have potential to impact our business Explore research areas such as representation learning, transformers, foundation models, generative AI, and reinforcement learning and other emerging deep learning techniques Develop your research skills with support and feedback from a dedicated mentor and intern lead Engage in professional development sessions aimed at helping you envision your future at IMC Attend events and social activities to get to know your cohort and current employees YOUR SKILLS AND EXPERIENCE: Current university student pursuing a PhD or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related quantitative field, and graduating in 2028 Experience in applying deep learning techniques Publication records at leading ML venues (NeurIPS, ICML, ICLR) or contributions to open source research a plus Strong programming skills in Python and hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow A creative problem-solver who is driven, resilient, and able to explain complex ideas clearly to both technical and non-technical audiences Must be able to start the internship in person on the last week of June 2027 You may submit one application per role each year.