Machine Learning Researcher - PhD: 2026
Machine Learning Researcher - PhD: 2026
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1 Vacancy
Job Description
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.
What Youll Do
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
What were looking for
Were 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 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
Why Join Us
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 $300000. 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.
If youre 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.
Employment Type
Unclear
