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

Tether.io
London
Workplace: RemoteFull timeFunction: Education & TrainingEducation: bachelorsSkills: ["PyTorch","Hugging Face","Distributed training","NVIDIA GPUs","Transformers"]

Join the AI model team to drive pre-training of large language models and multi-modal architectures. You will design scalable architectures, curate data pipelines, run distributed training on thousands of GPUs, and push innovations in cross-modal alignment and tokenization to advance LLM capabilities across text, vision, and other modalities.

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FursaFursa
Tether.io
Tether.io
3 months 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: 4 hours agoStatus: Live

Job Summary

Join the AI model team to drive pre-training of large language models and multi-modal architectures. You will design scalable architectures, curate data pipelines, run distributed training on thousands of GPUs, and push innovations in cross-modal alignment and tokenization to advance LLM capabilities across text, vision, and other modalities.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Lead Large-Scale Pre-Training for LLMs and Multi-Modal models on distributed GPU clusters
  • •Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers
  • •Source, filter, and curate massive-scale textual and multi-modal datasets and build robust data pipelines
  • •Conduct experiments, analyze results, and refine training methodologies for better performance and efficiency
  • •Investigate and resolve bottlenecks to improve model efficiency, performance, and scalability across hardware platforms

Key Requirements

  • •Degree in Computer Science or related field; PhD in NLP/ML preferred with strong AI R&D track record
  • •Hands-on experience with large-scale LLM/Multi-Modal pre-training on distributed GPU clusters
  • •Familiarity with large-scale distributed training frameworks and tools
  • •Deep knowledge of transformer and non-transformer modifications for efficiency and scalability
  • •Strong expertise in PyTorch and Hugging Face with model development, continual pretraining, and deployment
Experience:FintechAIMultimodal
Education:Bachelor's
Skills:PyTorchHugging FaceDistributed trainingNVIDIA GPUsTransformers
Languages:English
Tech Stack:PyTorchHugging FaceNVIDIA GPUsDistributed trainingTransformers

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
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