Senior Researcher-Deep Learning & LLMs

Our team has an immediate permanent opening for a Senior Researcher.

Responsibilities:

• Apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents.
• Research and develop innovative ML models with applications on graph structured data (such as social/transaction/telecommunication networks, recommender systems, and dynamic and knowledge graphs).
• Apply your research and implement optimized algorithms for real-world problems that affect relations of millions of entities (users, products, persons, or transactions).
• Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports.
• Contribute to the design, implementation, test, and maintenance of research and development frameworks.
• Collaborate with researchers and developers across teams and projects.

What you'll bring to the team:

• Master’s or PhD degree in Computer Science, Computer Engineering, Statistics, Applied Mathematics or a related technical field.
• Good knowledge of Deep Learning (DL) components (training, regularization, generalization) and familiar with common DL architectures (e.g., transformer, CNNs, diffusion models).
• Have publication experience in top AI/ML, NLP or Computer Vision conferences (NeurlPS, AAAI, ICML, ACL, CVPR, etc.).
• Strong coding skills in Python. Coding experience in C++ is an asset.
• Knowledge and experience in Large Language Models (LLMs) is an asset.
• Knowledge and experience in Graph Neural Networks (GNNs) is an asset.
• Have good communication skills.