Research Staff, LLMs

📋 Description

• Collaborate with other research scientists to identify, define, and develop new research
• Conduct comprehensive literature reviews, evaluating, classifying, and synthesizing existing
• Design, plan, and execute experimental programs to investigate new approaches to LLM development
• Research and improve transformer architectures, including model design, training methods, and
• Lead large-scale LLM training initiatives using distributed computing infrastructure.
• Investigate and improve data curation strategies, training efficiency, model optimization, and

🎯 Requirements

• At least 3 years of experience in applied deep learning research.
• Strong understanding of neural network architectures, their applications, and the implications of
• Proven hands-on experience with large language models, including data curation, distributed
• Strong programming skills in Python and practical experience with PyTorch.
• Experience working with different transformer architectures, including autoregressive and
• Practical knowledge of distributed computing and large-scale data processing.

🎁 Benefits

• Fully remote working arrangement across the EMEA region.
• Full-time opportunity within a dedicated AI research team.
• Opportunity to work on state-of-the-art LLM research and contribute to new scientific and technical
• Significant scope to develop innovative approaches and build new systems from the ground up.
• High level of autonomy and ownership in defining and executing research initiatives.
• AI-first working environment that encourages experimentation with advanced models and tools.