ML Research Intern — HFT & RL in Finance

Internetwork Expert; Amsterdam; On-site; EUR 11,000 - 17,000; Part time

Job summary

Pinely seeks a Machine Learning Research Intern to join our Amsterdam team. Contribute to cutting‑edge ML/DL/RL approaches for high‑frequency trading on real market data. You will work with senior researchers and engineers to push the boundaries of automated trading strategies.

The internship lasts 3–6 months, with potential for a full‑time position after successful completion. You will gain hands‑on experience and see your ideas tested daily in a production‑like environment.

Qualifications

• Passion for research and curiosity about new methods.
• Strong grounding in probability theory and statistics.
• Experience applying machine learning techniques to practical problems.
• Proficiency in Python for data analysis and modeling.

Responsibilities

• Participate in research and development of ML-driven HFT strategies.
• Analyze market microstructure to identify opportunities for trading signals.
• Collaborate with researchers and engineers to implement and optimize strategies.
• Assist in refining and testing quantitative trading ideas.

Skills

Passion for research

Probability theory

Machine learning

Python

Job description

Pinely seeks a Machine Learning Research Intern to join our Amsterdam team. Contribute to cutting‑edge ML/DL/RL approaches for high‑frequency trading on real market data. You will work with senior researchers and engineers to push the boundaries of automated trading strategies.

The internship lasts 3–6 months, with potential for a full‑time position after successful completion. You will gain hands‑on experience and see your ideas tested daily in a production‑like environment.