Machine Learning Researcher – PhD

Overview

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.

• 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

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.

• 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 Tensor Flow, 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

• 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

If you’re a recruiting agency and want to partner with us, please reach out to  . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.