TL;DR
AI Research Engineer (AI): Driving innovation in architecture development for cutting-edge AI models, including large and multi-modal systems, with an accent on pre-training optimization, data curation, and resolving bottlenecks. Focus on designing, prototyping, and scaling innovative architectures to enhance model intelligence and ensuring seamless scalability on target platforms.
Location: 100% Remote, from every corner of the world.
Company
hirify.global is a pioneering fintech company building cutting-edge solutions to integrate reserve-backed tokens across blockchains, featuring the world’s most trusted stablecoin, USDT, and driving innovation in AI, sustainable energy, and digital education.
What you will do
- Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.
- Design, prototype, and scale innovative architectures to enhance model intelligence.
- Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.
- Investigate, debug, and improve both model efficiency and computational performance.
- Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.
Requirements
- A degree in Computer Science or related field; ideally, a 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 large, 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.
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.
- Work for an industry leader that has grown fast and stayed lean.
- Contribute to an innovative platform shaping the future of digital finance.
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