Junior Deep Learning Researcher
Pinely
Posted: October 28, 2025
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Quick Summary
We are looking for a Junior Deep Learning Researcher to join our team in Amsterdam, working on high-frequency trading strategies and supporting our Olympiad movement. The ideal candidate should have a strong foundation in deep learning and a willingness to work in a fast-paced environment. Key skills include Python, TensorFlow, and experience with high-performance computing.
Required Skills
Job Description
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.
Responsibilities
• Conduct original research in the areas of artificial intelligence, machine learning, and related quantitative fields.
• Develop and experiment with modern deep learning architectures
• Analyze large, unstructured, and noisy datasets to extract meaningful insights
• Collaborating with developers and other researchers to implement and optimize trading strategies.
• Continually explore new methodologies and technologies to enhance research outcomes
Requirements:
• A 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 Python.
• Some experience with C++, although not necessarily in an industrial setting.
• Practical experience with modern DL architecture.
• Background in analyzing large, unstructured, and noisy datasets.
• Would be beneficial: Published research findings in top-tier journals and conferences (ICML, NeurIPS, ICLR, CVPR, ICCV).
Benefits:
• High 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.