Machine Learning Researcher
Thurn PartnersHighlight
Summary
About the Role
About You
- Strong background in machine learning, optimization or reinforcement learning.
- Deep understanding of transformer architectures and attention mechanisms.
- Strong Python programming skills and experience with frameworks such as PyTorch or TensorFlow.
- Comfort working with large datasets and complex experimental pipelines.
- Experience working with post training techniques such as SFT, DPO or RLHF.
- Strong analytical thinking and ability to translate research ideas into working prototypes.
- Intellectual curiosity about financial markets and decision systems.
Benefits
- Significant investment in computing infrastructure, data acquisition and experimentation.
- Freedom to explore new approaches while working alongside experienced quantitative professionals.
Thurn Partners is a Global Search, Research and Capital Introduction business. Thurn Partners connects the leadership teams of hedge funds, fund of funds, proprietary trading firms, and seeding businesses to unique, business-impactful professionals, in order to scale, diversify or otherwise enhance their business. The firm employs a systematic, research-driven approach to search and advisory, offering services across portfolio management, research, data science and engineering. Partnering with international investors, we facilitate introductions to seeding capital for individuals or teams looking to establish a hedge fund, across both the discretionary and systematic investment markets. Thurn Partners brings together a diverse team to leverage collective knowledge and outlook. Utilising cutting-edge technology and a data driven, systematic approach, we champion a culture of collaboration, ideas sharing and continuous improvement. Teamwork is at our core, empowering colleagues to thrive and creating a winning mentality where we learn from each other, inspire one another, and share in our successes. Thurn Partners is a young, dynamic, value-driven business, operating globally, with a focus across North America and Europe.