Senior Research Scientist (Architectures Research)

Role description

Role Overview

We are looking for a Senior Research Scientist to develop new model architectures and methods in areas such as efficient, sparse, and adaptive attention, long-context models and persistent memory, post-training transformation of pretrained models, selective computation and dynamic inference, and new architectures for reasoning and continual adaptation.

What You Will Do

Formulate original research questions, design and evaluate architectural changes, develop methods that preserve model quality while reducing training or inference cost, collaborate with engineering teams, publish research, and mentor researchers.

Why It Might Be a Fit

A PhD or equivalent research experience in machine learning, deep knowledge of transformers, attention, language-model training, and modern model architectures, a strong publication record, experience designing rigorous experiments, and strong implementation skills in Python and a modern deep-learning framework.

Requirements

• PhD or equivalent research experience in machine learning
• Deep knowledge of transformers, attention, language-model training, and modern model architectures
• Strong publication record or comparable evidence of original research
• Experience designing rigorous experiments and drawing clear conclusions from ambiguous results
• Strong implementation skills in Python and a modern deep-learning framework
• Experience training or evaluating models at scale
• Clear technical communication and the ability to lead research independently

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams