Applied Machine Learning Research Scientist (AI)

Company

hirify.global Systems builds breakthrough AI hardware and supercomputers designed to outperform traditional GPU-based architectures for training and inference.

What you will do

• Apply post-training techniques such as RLVR, RLHF, and GRPO to improve model performance.
• Build and maintain evaluation pipelines to measure model performance across various tasks and domains.
• Debug issues across the ML stack, including data pipelines, training jobs, and mixed-precision computation.
• Collaborate with researchers to translate ML ideas into efficient, scalable implementations.
• Design and scale ML pipelines across all stages of LLM development, including pretraining and fine-tuning.
• Work with large datasets, including generation, filtering, and synthetic data approaches.

Requirements

• Must be based in the US or Canada.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience working with machine learning systems.
• Strong programming skills in Python.
• Experience with ML frameworks such as PyTorch.
• Solid understanding of machine learning fundamentals and deep learning architectures, particularly transformers.

Nice to have

• Experience working with large language models (training, fine-tuning, and evaluation).
• Familiarity with reinforcement learning concepts.
• Experience with distributed training frameworks like FSDP or Megatron.
• Experience debugging or optimizing ML systems for performance.

Culture & Benefits

• Opportunity to work on one of the fastest AI supercomputers in the world.
• Environment that encourages publishing and open-sourcing cutting-edge AI research.
• Combination of startup vitality with established job stability.
• Non-corporate work culture that respects individual beliefs.
• Commitment to an equal and diverse work environment.