AI Research Engineer — LLM & Multimodal Architectures

Tether.io; Indiana (PA); On-site; USD 120,000 - 160,000; Full time

Job summary

Tether.io is seeking an AI model expert to drive innovation in architecture development for cutting-edge models. You will work on large-scale pre-training for LLMs and Multi-Modal systems, utilizing a hands-on, research-driven approach to enhance performance.

The ideal candidate will hold a PhD in a relevant field and possess deep expertise in Large Language Models and Multi-Modal architectures, as well as experience with distributed training on servers equipped with multiple NVIDIA GPUs.

Qualifications

• PhD in NLP, Machine Learning, or related field with a strong AI R&D track record.
• Hands-on experience with large-scale LLM or Multi-Modal pre-training on distributed servers.
• Deep knowledge of transformer and non-transformer methods.

Responsibilities

• Conduct foundational pre-training for LLMs and Multi-Modal models.
• Design and prototype innovative architectures for multi-modal understanding.
• Source and curate large-scale datasets for pre-training.

Skills

Large Language Models (LLM)

Multi-Modal systems

PyTorch

Hugging Face libraries

Data strategy

Education

PhD in NLP, Machine Learning or related field

Degree in Computer Science or related field

Tools

Distributed training frameworks

NVIDIA GPUs

Job description

Tether.io is seeking an AI model expert to drive innovation in architecture development for cutting-edge models. You will work on large-scale pre-training for LLMs and Multi-Modal systems, utilizing a hands-on, research-driven approach to enhance performance.

The ideal candidate will hold a PhD in a relevant field and possess deep expertise in Large Language Models and Multi-Modal architectures, as well as experience with distributed training on servers equipped with multiple NVIDIA GPUs.