Tasks

• Conduct R&D in deep learning systems in a financial industry context.
• Pursue independent research agenda in the area of deep learning.
• Cooperate in R&D teams to execute projects related to the financial industry. Strong collaboration with software engineers, researchers and industry partners.
• Collaborate with interdisciplinary teams to integrate NLP and deep learning technologies into practical applications.
• Invent, design and prototype AI systems. Apply state-of-the-art techniques in deep learning, transformers, large language models, and parameter-efficient fine-tuning.

Requirements

• PhD in Computer Sciences, Machine Learning, or equivalent background.
• Strong experience with deep learning libraries (PyTorch/TensorFlow/ONNX) and NumPy.
• Ability to work independently and on schedule.
• PhD from top‑tier institution. The candidate should be among the top 5% of Master graduate...