Junior Deep Learning Researcher

Internetwork Expert; Amsterdam; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Biannual bonuses

Relocation package

Flexible schedule

Top mathematicians team

Cutting-edge hardware

Health insurance

Sports reimbursement

Corporate events

Job summary

Pinely in Amsterdam invites a Junior Deep Learning Researcher to join our fast-paced research office. You will conduct original research in AI and ML, develop and experiment with modern DL architectures, and analyze large noisy data.

You will collaborate with developers and researchers to implement trading strategies and push methodologies forward in a culture of autonomy and ownership. We offer relocation to Amsterdam and a competitive base salary with biannual bonuses and comprehensive

Qualifications

• 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) would be beneficial

Responsibilities

• 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

Skills

Machine learning

Probability theory

Mathematical statistics

Python

C++

DL architectures

Data analysis

Education

Quantitative degree

Tools

DL frameworks

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

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++, 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.