Machine Learning Research (Intern)

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

We are excited to offer an internship opportunity for a Machine Learning Research (Intern) to join our Amsterdam-based team. As part of our research group, you will contribute to innovative projects focused on developing and improving HFT strategies using ML, DL and RL techniques. You will work closely with experienced researchers and engineers, gaining hands‑on experience in applying cutting‑edge ML methods to real‑world financial data. This internship offers a unique opportunity to explore the intersection of AI and quantitative finance, contributing to our ongoing efforts to automate and optimize trading strategies in a highly dynamic environment.

The internship duration can range from 3 to 6 months, depending on the team and the intern’s availability. Upon successful completion, you may be offered a full‑time position at Pinely.

Responsibilities

• Participate in conducting groundbreaking research and development of high‑frequency trading (HFT) strategies;
• Analyzing high‑frequency trading strategies and market microstructure to identify new trading opportunities;
• Collaborating with developers and other researchers to implement and optimize trading strategies;
• Contributing to the improvement of existing trading strategies and assisting researchers in quantitative strategy design.

Requirements

• Passion for research;
• Deep knowledge of probability theory and mathematical statistics;
• Experience in machine learning;
• Proficiency in Python.

Would be great if you had this

• Participation in ML competitions, hackathons, or mathematical / programming Olympiads;
• Experience with big data processing technologies (MapReduce, Hadoop, Apache Spark);
• Demonstrated performance in competitive programming contests;
• Engagement with ML conferences.

What we offer

• The team which consists of great minds, including Kaggle Grandmasters, ACM ICPC World Finalists and published research findings in A* conferences;
• The versatile and reliable infrastructure to support your strategies and innovations and the capability to test ideas daily on a real‑time production leaderboard, fostering a dynamic environment for experimentation and refinement;
• A modern and well‑equipped office designed for productivity and comfort;
• Friendly work environment, we value and prioritize a healthy work‑life balance to support overall well‑being of the team;
• Corporate and team`s events.