AI Research Engineer (Pre-training - LLM & Multi-Modal)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join the AI model team to drive foundational pre-training for LLMs and multi-modal models, design innovative architectures and cross-modal alignment, curate and streaming-scale datasets, and optimize training pipelines on distributed GPU clusters. You will advance model intelligence, efficiency, and scalability for fintech/digital finance applications, collaborating across global teams to push the boundaries of AI research.

Location: Dubai

Workplace: Remote

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models on large distributed servers with thousands of NVIDIA GPUs.
•Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers.
•Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets and establish robust data pipelines.
•Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance.
•Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency and multi-modal alignment stability during long training runs.

Key Requirements

•A degree in Computer Science or related field; ideally PhD in NLP, ML, or related field, with a strong AI R&D track record.

Experience:FintechAIBlockchainDigital finance

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PyTorchHugging FaceNVIDIA GPUsLLMTransformers

Company Brief

Tether.io

Builds tools and services to help companies hire, onboard, and manage remote or distributed teams across borders, focusing on payroll, compliance, and global employment workflows.

Industry: HR Tech

Website

Loading job details...

Preparing the role view and application actions.

Tether.io

1 month ago

AI Research Engineer (Pre-training - LLM & Multi-Modal)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Dubai

Workplace: Remote

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models on large distributed servers with thousands of NVIDIA GPUs.
•Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers.
•Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets and establish robust data pipelines.
•Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance.
•Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency and multi-modal alignment stability during long training runs.

Key Requirements

•A degree in Computer Science or related field; ideally PhD in NLP, ML, or related field, with a strong AI R&D track record.

Experience:FintechAIBlockchainDigital finance

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PyTorchHugging FaceNVIDIA GPUsLLMTransformers

Company Brief

Tether.io

Builds tools and services to help companies hire, onboard, and manage remote or distributed teams across borders, focusing on payroll, compliance, and global employment workflows.

Industry: HR Tech

Website