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...