<p>Overview</p> <p>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.</p> <p>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.</p> <p>What You'll Do</p> <ul> <li>Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment </li><li>Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches </li><li>Design and run experiments using the latest ML tools and frameworks </li><li>Develop automation tools to streamline research and system development </li><li>Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior </li><li>Partner with engineering teams to implement and test models in production environments </li></ul> <p>What we're looking for</p> <p>We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.</p> <ul> <li>PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field </li><li>Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems </li><li>A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR </li><li>Strong programming skills in Python and/or C++ </li><li>Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments </li><li>Hands-on experience applying deep learning on time series data </li><li>Strong foundation in mathematics, statistics, and algorithm design </li><li>Excellent problem-solving skills with a creative, research-driven mindset </li><li>Demonstrated ability to work collaboratively in team-oriented environments </li><li>A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment </li></ul> <p>Why Join Us?</p> <ul> <li>Collaborate with a world-class team of researchers, engineers, and traders </li><li>Gain access to best-in-class financial data and high-performance computing resources </li><li>Directly impact real-time trading performance through your work </li><li>Thrive in a collaborative, intellectually rigorous environment with a global footprint </li></ul> <p>Recruiting for this position will begin in July.</p> <p>The annual base pay range for this role is $300,000 + discretionary bonus + benefits. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.</p> <p>Visa sponsorship is available for this position.</p> <p>If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.</p>