Junior Deep Learning Researcher
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Before you apply
LocationAmsterdam, North Holland, Netherlands
Work modeon-site
Typefull-time
SeniorityEntry
DepartmentResearch
Company size51–200 people
PostedApr 5, 2026 · 7mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
Published research findings in top-tier journals and conferences (ICML, NeurIPS, ICLR, CVPR, ICCV)
Skills
Python
C++
Benefits
Health insurance
Relocation package
Flexible schedule
Bonus
About the company
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.
About the role
We are excited to announce an opportunity for a Junior Deep Learning Researcher to join our Amsterdam-based office.
Responsibilities
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Conduct original research in the areas of artificial intelligence, machine learning, and related quantitative fields;
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Develop and experiment with modern deep learning architectures;
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Analyze large, unstructured, and noisy datasets to extract meaningful insights;
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Collaborating with developers and other researchers to implement and optimize trading strategies.;
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Continually explore new methodologies and technologies to enhance research outcomes.
Requirements
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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
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High base salary plus significant biannual bonuses;
•
Relocation package to Amsterdam (we are very flexible in discussing salary and conditions of employment);
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Flexible workflow and working schedule;
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Being part of a team with top winners in mathematics and programming competitions;
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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;
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Internal training, comprehensive health insurance, sports reimbursement, and biannual corporate events.