Junior Deep Learning Researcher
pinelyNetherlands2 days ago
Full-timeResearch
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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
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
- 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)
- 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
Key Skills
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