Junior Deep Learning Researcher

Pinely

Amsterdam

Sur place

EUR 65 000 - 90 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Relocation package
Flexible workflow
Biannual bonuses
Comprehensive health insurance

Résumé du poste

Pinely, a high-frequency algorithmic trading firm based in Amsterdam, seeks a Junior Deep Learning Researcher to join its Amsterdam office. You will conduct original AI/ML research, develop modern deep learning architectures, and analyze large, noisy datasets to extract insights.

Collaboration with developers and other researchers will be essential. The role emphasizes autonomy, cutting-edge hardware and software, rapid production impact, and an informal, idea-driven culture.

Qualifications

  • 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++.
  • Practical experience with modern DL architectures; background in analyzing large, unstructured datasets.

Responsabilités

  • Conduct original research in 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.

Connaissances

Python
C++
Machine learning
Probability theory
Mathematical statistics
Large datasets

Formation

Quantitative degree (math/physics/CS)

Outils

PyTorch
TensorFlow

Description du poste

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.
  • 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.
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