Applied AI Scientist (LLM)

Location: United Arab Emirates

Company

hirify.global builds wafer-scale AI hardware and software for high-speed large-model training and inference.

What you will do

• Discover customer AI use cases, assess feasibility and data readiness, select model architectures, and define milestones, metrics, and evaluation benchmarks.
• Design and execute end-to-end training recipes for custom large language models and other deep learning models.
• Implement continuous pre-training, supervised fine-tuning, and post-training alignment with RLHF or DPO.
• Own data preprocessing, tokenization, hyperparameter tuning, loss-curve analysis, and model convergence investigations.
• Scale multi-billion-parameter training workloads across hirify.global clusters and optimize hardware utilization.
• Build agentic system components for tool use, long-context reasoning, and multi-step planning while guiding customers and collaborating with internal research and engineering teams.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or a related field.
• Expert-level knowledge of dense transformers, mixture-of-experts models, multimodal and sequence models, scaling laws, and training dynamics.
• Proven experience training or fine-tuning large models with 1B+ parameters.
• Mastery of Python and PyTorch, plus experience with distributed training frameworks and large-scale distributed data-processing pipelines.
• Strong communication and collaboration skills, including presenting complex technical results to executives and research scientists.

Culture & Benefits

• Work on a wafer-scale AI platform designed to overcome GPU limitations.
• Opportunities to publish and open-source AI research.
• Access to one of the fastest AI supercomputers.
• Job stability combined with startup vitality and a non-corporate culture.
• Continuous learning, growth, and an inclusive work environment.