Please note that this role requires professional experience in ML research. If you are a student interested in ML, please apply to our Algo Developer - On Campus Recruiting role. 

Machine learning is central to HRT’s approach to building trading strategies. As a result, we are heavily invested in hiring the best and brightest ML researchers and providing them with the freedom to explore and pursue their own ideas.

Financial markets present a variety of unique and interesting technical challenges for ML research, including latency constraints, non-stationarity, and low signal-to-noise ratios. As a Machine Learning Researcher in HRT AI Labs (HAIL), you will work with vast amounts of market data to overcome these challenges.  You will collaborate with your fellow researchers and engineers to develop and test your ideas as a part of HRT’s live trading strategies. Successful ideas will be put into practice almost immediately, contributing to the firm’s performance and impacting the landscape of global financial markets.

Responsibilities

• Conduct independent research in applying machine learning to a wide variety of datasets and trading problems
• Following latest developments in academic research and incorporating research techniques from different fields to our problems
• Independently implementing research in production using Python / C++

Qualifications

• Masters or PhD in Computer Science, Mathematics, Statistics, or a related field
• At least two years of demonstrated experience of ML research in a professional setting
• Track record of academic publications preferred
• Experience with software engineering in Python / C++

Annual base salary range of $175,000 to $300,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.