Junior Deep Learning Researcher
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;
Collaborate 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 architectures;
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).
What we offer
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 across the company, which allows us to implement ideas and achieve great results;
Internal training, comprehensive health insurance, sports reimbursement, and biannual corporate events.
Skills
As published by ashby · 16 questions · 4 written answers
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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).
- I have read, understand and accept the content of the Privacy Notice and consent to the processing of my data as part of this application.
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