Remote Multimodal Vision AI Engineer

Tether Ltd.; Dubai; Remote; AED 350,000 - 750,000; Full time

Job summary

Tether Ltd. is recruiting for an AI model engineer to advance multimodal vision-language systems. You will drive the full development lifecycle from data curation through training to evaluation, applying state-of-the-art research to production-scale deployments.

You will work with a small, high-caliber team, translating research findings into practical improvements and publishing where applicable. Remote work is supported globally, with emphasis on international collaboration and impact.

Qualifications

• 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.

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.
• Build and scale training workflows across distributed GPU infrastructure.
• Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks.
• Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development.
• Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements.
• Publish research findings in top-tier AI conferences and journals where applicable.

Skills

Multimodal post-training workflows

Supervised fine-tuning

Knowledge distillation

Reinforcement learning from feedback

Distributed training

Parameter-efficient fine-tuning

Education

Master’s or PhD in Computer Science / ML or related field

MS/PhD preferred

Tools

GitHub

HuggingFace

Job description

Tether Ltd. is recruiting for an AI model engineer to advance multimodal vision-language systems. You will drive the full development lifecycle from data curation through training to evaluation, applying state-of-the-art research to production-scale deployments.

You will work with a small, high-caliber team, translating research findings into practical improvements and publishing where applicable. Remote work is supported globally, with emphasis on international collaboration and impact.