AI Research Engineer (AI)

TL;DR

AI Research Engineer (AI): Driving innovation in architecture development for cutting-edge AI models, including small, large, and multi-modal systems with an accent on enhancing intelligence and efficiency. Focus on implementing novel techniques and algorithms that lead to groundbreaking advancements in data curation and pre-training bottlenecks.

Location: Remote

Company

Tether is pioneering a global financial revolution by providing cutting-edge solutions that empower businesses to seamlessly integrate reserve-backed tokens across blockchains.

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.
• 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.
• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Culture & Benefits

• Global talent powerhouse, working remotely from every corner of the world.
• Opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards in the fintech space.