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# Machine Learning Researcher

- **Company:** Susquehanna International Group, LLP
- **Location:** United States
- **Experience:** Expert
- **Salary:** $300,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithmic Trading, Algorithm Design, C++ (Programming Language), Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Feature Engineering, Pytorch, Deep Learning, Scikit Learn, Information Technology
- **Published:** July 23, 2026
- **Apply:** https://www.dice.com/job-detail/15b50594-7e17-47a9-93d8-0592277e8ec4

## About the Role

* 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
 * Visa sponsorship is available for this position

## Description

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.

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.

What you'll do

 * Research and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.
 * Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.
 * Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.
 * Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.
 * Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.
 * Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.


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