Junior Deep Learning Researcher

We are Pinely, a high-frequency algorithmic trading firm based in Amsterdam.Our team specializes in developing robust and adaptive strategies applicable across a wide range of financial instruments and exchanges. We actively support the Olympiad movement, and many of our colleagues are prize-winning mathematicians, researchers and engineers.Researchers at Pinely benefit from working in a fast-paced HFT environment, where the impact of their ideas is quickly visible in production. The research teams are supported by a world-class infrastructure group that ensures smooth deployment and reliable experimentation at scale.Our flat organizational structure encourages autonomy, creativity, and direct ownership. We value an informal, idea-driven culture where innovation is celebrated and every contribution matters.We are excited to announce an opportunity for a Junior Deep Learning Researcher to join our Amsterdam-based office.ResponsibilitiesConduct original research in the areas of artificial intelligence, machine learning, and related quantitative fieldsDevelop and experiment with modern deep learning architecturesAnalyze large, unstructured, and noisy datasets to extract meaningful insightsCollaborating with developers and other researchers to implement and optimize trading strategiesContinually explore new methodologies and technologies to enhance research outcomes RequirementsA degree in mathematics, physics, computer science, or another quantitative discipline (or expectation of such a degree within the next year)Knowledge of machine learning, probability theory and mathematical statistics. Proficiency in PythonSome experience with C++, although not necessarily in an industrial settingPractical experience with modern DL architectureBackground in analyzing large, unstructured, and noisy datasetsWould be beneficial: Published research findings in top-tier journals and conferences (ICML, NeurIPS, ICLR, CVPR, ICCV)BenefitsHigh base salary plus significant biannual bonuses;Relocation package to Amsterdam (we are very flexible in discussing salary and conditions of employment);Flexible workflow and working schedule;Being part of a team with top winners in mathematics and programming competitions;Cutting-edge hardware and software in production as well as high technical expertise of the company which allows implementation of ideas and boosting great results;Internal training, comprehensive health insurance, sports reimbursement, and biannual corporate events