Graduate Deep Learning Researcher - London

Job description

IMC is seeking Deep Learning Researchers to join our growing team. As a Deep Learning Researcher, you will develop and apply state-of-the-art deep learning techniques at the intersection of AI and markets. You will help accelerate our efforts in areas such as modern neural network architectures and representation learning, improving our large-scale AI models that increasingly shape our trading. You will work closely with senior researchers to gain exposure to the full research lifecycle, from initial idea to production deployment. The ideal candidate has a strong foundation in modern AI and machine learning research, gained through post-graduate study or internships. Prior financial industry experience is not required. We are looking for someone who brings rigorous scientific thinking and a drive to learn, and who wants to grow alongside experienced researchers as we build a world-class deep learning capability at IMC. Your Core Responsibilities Build and improve deep learning models to enhance trading performance across multiple asset classes, working under the guidance of senior researchers Contribute to research in areas such as representation learning, transformers, foundation models, generative AI, reinforcement learning, and other emerging deep learning techniques Support large-scale data curation, feature representation, and self-supervised and multimodal learning from structured and unstructured datasets Contribute to shared training infrastructure and deployment pipelines Stay current with academic and industry developments in deep learning and share relevant research with the team Your Skills and Experience A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Currently in your final year of study, graduating in 2027 A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Demonstrated experience in deep learning research or applied machine learning. For PhD candidates, we expect a record of research contributions in your area published at leading ML venues (e.g., NeurIPS, ICML, ICLR). For Bachelor’s and Master’s candidates, research experience is required but can take other forms, e.g. thesis work, open-source contributions, or projects Hands-on experience with modern deep l…