AI Research Engineer (LLM)

TL;DR

AI Research Engineer (LLM): Designing, prototyping, and scaling innovative LLM architectures with an accent on pre-training optimization, efficiency, and introducing new capabilities. Focus on exploring and implementing novel techniques, resolving pre-training bottlenecks, and advancing training systems for seamless scalability.

Location: 100% Remote, global

Company

hirify.global is pioneering a global financial revolution by building cutting-edge solutions for digital finance, including the USDT stablecoin, energy solutions, AI, and educational initiatives.

What you will do

• Conduct pre-training of AI models on large, distributed servers equipped with NVIDIA GPUs.
• Design, prototype, and scale innovative architectures to enhance model intelligence.
• Independently and collaboratively execute experiments, analyze results, and refine methodologies.
• Investigate, debug, and improve both model efficiency and computational performance.
• Contribute to the advancement of training systems to ensure seamless scalability and efficiency.

Requirements

• Degree in Computer Science or related field, ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
• Hands-on experience contributing to large-scale LLM training runs on distributed servers equipped with thousands of NVIDIA GPUs.
• Familiarity and practical experience with large-scale, distributed training frameworks, libraries, and tools.
• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency, and scalability.
• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
• English: Excellent communication skills required.

Culture & Benefits

• Join a global talent powerhouse, working remotely from every corner of the world.
• Opportunity to make a significant mark in the fintech space.
• Collaborate with some of the brightest minds, pushing boundaries and setting new standards.
• Be part of a fast-growing, lean, and industry-leading team.
• Contribute to an innovative platform pioneering digital finance.

Hiring process

• The application includes questions about your experience, research projects, and publications.
• Video questions are part of the application process.
• Do not use AI tools when completing this application; AI-generated answers may disqualify.