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 a global AI model team focused on large-scale pre-training of LLMs and multi-modal models. You’ll design architectures, curate data pipelines, run distributed pre-training on thousands of GPUs, optimize training efficiency, and push cross-modal alignment while expanding scalable training systems in a fintech-focused ecosystem.

Location: Dublin

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 GPUs.
•Architecture & Alignment Innovation: Design, prototype, and scale 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.
•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, Machine Learning, or related field, with substantial AI R&D publications.

Experience:AILLMMulti-ModalDistributed training

Education:Bachelor's

Skills:PyTorchHugging FaceNVIDIAGPUsModel pre-trainingDistributed training

Languages:English

Tech Stack:PyTorchHugging FaceNVIDIA GPUsDistributed training

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

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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: Dublin

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 GPUs.
•Architecture & Alignment Innovation: Design, prototype, and scale 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.
•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, Machine Learning, or related field, with substantial AI R&D publications.

Experience:AILLMMulti-ModalDistributed training

Education:Bachelor's

Skills:PyTorchHugging FaceNVIDIAGPUsModel pre-trainingDistributed training

Languages:English

Tech Stack:PyTorchHugging FaceNVIDIA GPUsDistributed training

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