Deep Learning Researcher

We are seeking a highly motivated and skilled Deep Learning Researcher to join our team. This individual will have the opportunity to contribute to cutting-edge research in artificial intelligence and machine learning. The ideal candidate will be prepared to work independently as an individual contributor (IC) for at least one year, engaging in high-level research activities aimed at advancing the HFT field.

Research / Machine Learning

All roles

Amsterdam,
FULLTIME

Requirements

– A PhD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative discipline (or expectation of such a degree this year);

– Strong background in machine learning and mathematical statistics;

– Practical experience and a profound understanding of modern DL architectures, especially focusing on transformers and their variants;

– Proficient programming skills (any language, with Python being preferable);

– Published research findings in top-tier journals and conferences;

– Hands-on experience of conducting high-quality research;

– Background in analysing large, unstructured, and noisy datasets.

Requirements

– A PhD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative discipline (or expectation of such a degree this year);

– Strong background in machine learning and mathematical statistics;

– Practical experience and a profound understanding of modern DL architectures, especially focusing on transformers and their variants;

– Proficient programming skills (any language, with Python being preferable);

– Published research findings in top-tier journals and conferences;

– Hands-on experience of conducting high-quality research;

– Background in analysing large, unstructured, and noisy datasets.

Job responsibilities

– Conduct original research in the areas of artificial intelligence, machine learning, and related quantitative fields;

– Develop and experiment with modern deep learning architectures;

– Analyse large, unstructured, and noisy datasets to extract meaningful insights;

– Collaborate with leading research labs and academic institutions to foster innovation and exchange knowledge;