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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. This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
Job Responsibility:
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
Requirements:
PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
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
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
What we offer:
Collaborate with a world-class team of researchers, engineers, and traders
Gain access to best-in-class financial data and high-performance computing resources
Directly impact real-time trading performance through your work
Thrive in a collaborative, intellectually rigorous environment with a global footprint