Remote AI Research Engineer — LLM & Multimodal Models

Tether Operations Limited; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Tether Operations Limited is seeking a lead AI model engineer to drive architecture development for LLMs and multi-modal systems. You’ll optimize pre-training, curate diverse data, and push cross-modal alignment to new levels across distributed GPU clusters.

Applicants should bring hands-on research experience in large-scale AI, with a focus on efficiency, scalability, and novel techniques to advance cross-modal AI performance.

Qualifications

• Deep expertise in Large Language Models (LLMs) and Multi-Modal architectures.
• Strong grasp of pre-training optimization and large-scale training.
• Hands-on, research-driven approach with a track record in AI model development.

Responsibilities

• Large-Scale Pre-Training: pre-train LLMs and multi-modal models on distributed servers with thousands of GPUs.
• Architecture & Alignment Innovation: design and scale novel architectures and cross-modal alignment layers.
• Data Strategy: source and curate massive multi-modal datasets and data pipelines.
• Experimental Research: conduct experiments, analyze results, and refine training methods.
• Optimization & Debugging: identify bottlenecks and improve efficiency during long training runs.
• System Scalability: contribute to distributed training systems for scalable hardware utilization.

Job description

Tether Operations Limited is seeking a lead AI model engineer to drive architecture development for LLMs and multi-modal systems. You’ll optimize pre-training, curate diverse data, and push cross-modal alignment to new levels across distributed GPU clusters.

Applicants should bring hands-on research experience in large-scale AI, with a focus on efficiency, scalability, and novel techniques to advance cross-modal AI performance.