Machine Learning Researcher Job Description
Susquehanna is seeking exceptional researchers to join its dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to forecasting challenges, including time series analysis and natural language understanding.
This is an opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging high-quality financial data.
Job Responsibilities:
* Conduct research and develop ML models to enhance trading strategies
* Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
* Design and run experiments using the latest ML tools and frameworks
* Develop automation tools to streamline research and system development
* Apply rigorous scientific methods to extract signals from complex datasets
* Partner with engineering teams to implement and test models in production environments
Required Skills and Qualifications:
1. PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
* Strong track record of applying ML in academic or industry settings
* A strong publication record in top-tier conferences
* Strong programming skills in Python and/or C++
* Practical knowledge of ML libraries and frameworks
* Hands-on experience applying deep learning on time series data
* Strong foundation in mathematics, statistics, and algorithm design
* Excellent problem-solving skills with a creative mindset
* Demonstrated ability to work collaboratively in team-oriented environments
Benefits:
* Collaborate with a world-class team of researchers and engineers
* Gain access to best-in-class financial data and high-performance computing resources
* Directly impact real-time trading performance through your work