Machine Learning Research (Intern)

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.