AI Research Engineer (Multi-Modal & Vision)

Tether.io
London
Workplace: RemoteFull timeFunction: Research & Scientific (R&D)Education: bachelorsSkills: []

Join the AI model team to advance vision-language models from data curation and training to evaluation and deployment. You will design post-training pipelines, build multimodal datasets, optimize models for resource constraints, and publish findings, working closely with a small team to push state-of-the-art in production-ready multimodal AI.

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FursaFursa
Tether.io
Tether.io
2 months ago

AI Research Engineer (Multi-Modal & Vision)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Join the AI model team to advance vision-language models from data curation and training to evaluation and deployment. You will design post-training pipelines, build multimodal datasets, optimize models for resource constraints, and publish findings, working closely with a small team to push state-of-the-art in production-ready multimodal AI.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
  • •Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
  • •Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
  • •Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
  • •Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.

Key Requirements

  • •Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
  • •Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
  • •Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
  • •Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks.
  • •Experience adapting models for resource-constrained environments.
Experience:Multimodal AIVision-languageAI research
Education:Bachelor's
Languages:English
Tech Stack:Vision-languageMultimodalDistributed trainingFine-tuningDistillationRLHF

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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