Machine Learning Researcher
Machine Learning Researcher
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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
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
