Machine Learning Research (Intern)

PinelyΒ· Research
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πŸ“ Amsterdam, North Holland, NetherlandsContract

About this role

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.

Frequently Asked Questions

Is the salary disclosed for the Machine Learning Research (Intern) position at Pinely?
The salary for this Machine Learning Research (Intern) role at Pinely is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Research (Intern) position at Pinely located?
This Machine Learning Research (Intern) role at Pinely is based in Amsterdam, North Holland, Netherlands. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning Research (Intern) role at Pinely full-time or part-time?
This is listed as a Contract position. It is posted as a Machine Learning Research (Intern) role in the Research department at Pinely.
Which team or department does the Machine Learning Research (Intern) at Pinely belong to?
This Machine Learning Research (Intern) position is part of the Research department at Pinely. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Research (Intern) position at Pinely?
Click the "Apply Now" button on this page. You will be redirected to Pinely's official application portal hosted on workable where you can submit your application directly.
When was the Machine Learning Research (Intern) job at Pinely posted?
This Machine Learning Research (Intern) position at Pinely was posted on Feb 26, 2026. Apply as soon as possible β€” early applications are often reviewed first.
Machine Learning Research (Intern)
Pinely
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