Senior Researcher - Multimodal Lab

About the role

An ideal candidate would have a strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate with the bleeding edge in generative models, self-supervised learning, and multi-modal learning.

What you'll do

• Use deep learning to create new solutions and enhance existing applications
• Push the state-of-the-art and develop intellectual property
• Transfer technology to product groups and draft patent applications
• Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions

What you need

• Machine learning
• Deep learning
• Python
• TensorFlow
• PyTorch
• LLMs

Good to have

• NLP
• IPR