AI Research Engineer (Pre-training - LLM & Multi-Modal) - 100% Remote Worldwide

Tether.io
Buenos Aires, Bogotá, São Paulo, Montevideo, Bengaluru, Chittagong, Karachi, Tokyo, Hanoi, Taipei, Bangkok, London, Barcelona, Dubai, Sofia, Prague, Belgrade, Copenhagen, Tallinn, Athens, Tbilisi, Budapest, Dublin, Oslo, Amsterdam, Warsaw, Lisbon, Bucharest, Stockholm, Brussels, Tel Aviv, Nicosia
Workplace: RemoteFull timeFunction: Education & TrainingEducation: bachelorsSkills: ["English communication","Research mindset"]

Drive innovation on the AI model team by developing architectures for small, large, and multi-modal models. You’ll work on LLM and multi-modal pre-training, including novel techniques for multi-modal data curation and alignment, improving baselines, and removing pre-training bottlenecks. The role includes running and optimizing large-scale pre-training on distributed servers with multi-nodes and thousands of NVIDIA GPUs, while experimenting, debugging, and scaling training systems for efficiency and performance.

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FursaFursa
Tether.io
Tether.io
1 day ago

AI Research Engineer (Pre-training - LLM & Multi-Modal) - 100% Remote Worldwide

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Drive innovation on the AI model team by developing architectures for small, large, and multi-modal models. You’ll work on LLM and multi-modal pre-training, including novel techniques for multi-modal data curation and alignment, improving baselines, and removing pre-training bottlenecks. The role includes running and optimizing large-scale pre-training on distributed servers with multi-nodes and thousands of NVIDIA GPUs, while experimenting, debugging, and scaling training systems for efficiency and performance.
Location: Buenos Aires, Bogotá, São Paulo, Montevideo, Bengaluru, Chittagong, Karachi, Tokyo, Hanoi, Taipei, Bangkok, London, Barcelona, Dubai, Sofia, Prague, Belgrade, Copenhagen, Tallinn, Athens, Tbilisi, Budapest, Dublin, Oslo, Amsterdam, Warsaw, Lisbon, Bucharest, Stockholm, Brussels, Tel Aviv, Nicosia
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Education & Training
Seniority: Mid level

Key Responsibilities

  • •Conduct foundational pre-training for LLMs and multi-modal models (text, vision, audio, and other modalities) on large distributed servers with multi-nodes and thousands of NVIDIA GPUs.
  • •Design, prototype, and scale architectures, tokenizers, and cross-modal alignment layers to improve model intelligence and multi-modal understanding.
  • •Source, filter, and curate massive-scale textual and multi-modal datasets, and build robust data pipelines for efficient pre-training.
  • •Execute experiments, analyze results, and refine training methodologies for performance and token efficiency.
  • •Investigate and debug bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs; improve distributed training scalability and hardware efficiency.

Key Requirements

  • •A degree in Computer Science or a related field; ideally a PhD in NLP, Machine Learning, or related areas with a strong AI R&D publication record.
  • •Hands-on experience contributing to large-scale LLM and/or multi-modal pre-training runs on distributed servers with thousands of NVIDIA GPUs.
  • •Familiarity and practical experience with large-scale, distributed training frameworks, libraries, and tools.
  • •Deep knowledge of state-of-the-art transformer and non-transformer modifications to improve intelligence, efficiency, and scalability.
  • •Strong expertise in PyTorch and Hugging Face libraries, including practical experience in continual pretraining and deployment.
Education:Bachelor's in Computer Science (or related field)
Skills:English communicationResearch mindset
Languages:English
Tech Stack:LLMMulti-ModalNVIDIA GPUsPyTorchHugging FaceTransformersTokenizersDistributed trainingContinual pretrainingDeployment

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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