Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
Requirements
- Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems;
- Strong programming skills in Python and/or C++;
- Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments;
- Hands-on experience applying deep learning on time series data;
- Strong foundation in mathematics, statistics, and algorithm design;
Responsibilities
- Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment;
- 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 and shape our understanding of market behavior;
- Partner with engineering teams to implement and test models in production environments.
Other
- PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field;
- A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR;
- Excellent problem-solving skills with a creative, research-driven mindset;
- Demonstrated ability to work collaboratively in team-oriented environments;
- A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment.
