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.

• 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.
• 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.

The annual base pay for this role is $300,000. 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.

Visa sponsorship is available for this position.