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


Amsterdam,
FULLTIME
Requirements
– Equivalent research experience such as published research findings in top-tier journals and conferences or a PhD / MD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative discipline;

– 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);

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

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

– A PhD (in Computer Science, Electrical Engineering, Mathematics, or a related quantitative discipline) or equivalent research experience.

Requirements
– Equivalent research experience such as published research findings in top-tier journals and conferences or a PhD / MD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative discipline;
– 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);
– Hands-on experience of conducting high-quality research;
– Background in analysing large, unstructured, and noisy datasets;

– A PhD (in Computer Science, Electrical Engineering, Mathematics, or a related quantitative discipline) or equivalent research experience.

Key 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;

– Continually explore new methodologies and technologies to enhance research outcomes.

Key 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;

– Continually explore new methodologies and technologies to enhance research outcomes.

Apply